# Using R on LISSY

This page explains the special methods used to load *LIS and LWS data* in *R* and generate output, and documents the add-on packages currently available on the system.

## Loading Data

Data is read into the workspace using the *read.LIS* function, which has one required argument and three optional arguments. It works as follows:

## Usage

read.LIS(ccyyuu, labels=TRUE, vars=NULL, subset=NULL)

## Arguments

ccyyuu | A string or vector of strings containing dataset identifiers, indicating which datasets to load. For the formatting of this identifier, see Details. |

labels | A logical value indicating whether to use the value labels for categorical variables. If TRUE, creates a factor from the labels. If FALSE, uses the numeric codes. |

subset | An optional string specifying a subset of observations to be return. By default, all observations are returned. |

vars | An optional vector of variables to be loaded. By default, all variables are returned. |

## Details

The format of *ccyyuu* is a country and year code followed by a one-letter code used to identify the specific type of dataset within each database:

Package |
Version |
Title |
---|---|---|

abind | 1.4-5 | Combine Multidimensional Arrays |

acepack | 1.4.1 | ACE and AVAS for Selecting Multiple Regression Transformations |

acid | 1.1 | Analysing Conditional Income Distributions |

AER | 1.2-10 | Applied Econometrics with R |

afex | 1.3-0 | Analysis of Factorial Experiments |

Amelia | 1.8.1 | A Program for Missing Data |

arsenal | 3.6.3 | An Arsenal of ‘R’ Functions for Large-Scale Statistical Summaries |

AsioHeaders | 1.22.1-2 | ‘Asio’ C++ Header Files |

askpass | 1.1 | Safe Password Entry for R, Git, and SSH |

assertthat | 0.2.1 | Easy Pre and Post Assertions |

backports | 1.4.1 | Reimplementations of Functions Introduced Since R-3.0.0 |

base64enc | 0.1-3 | Tools for base64 encoding |

bayestestR | 0.13.1 | Understand and Describe Bayesian Models and Posterior Distributions |

BBmisc | 1.13 | Miscellaneous Helper Functions for B. Bischl |

bda | 15.2.5 | Binned Data Analysis |

bdsmatrix | 1.3-6 | Routines for Block Diagonal Symmetric Matrices |

BH | 1.78.0-0 | Boost C++ Header Files |

bigD | 0.2.0 | Flexibly Format Dates and Times to a Given Locale |

biglm | 0.9-2.1 | Bounded Memory Linear and Generalized Linear Models |

binsreg | 0.9 | Binscatter Estimation and Inference |

BiocGenerics | 0.36.1 | S4 generic functions used in Bioconductor |

BiocManager | 1.30.20 | Access the Bioconductor Project Package Repository |

BiocVersion | 3.12.0 | Set the appropriate version of Bioconductor packages |

bit | 4.0.5 | Classes and Methods for Fast Memory-Efficient Boolean Selections |

bit64 | 4.0.5 | A S3 Class for Vectors of 64bit Integers |

bitops | 1.0-7 | Bitwise Operations |

blme | 1.0-5 | Bayesian Linear Mixed-Effects Models |

blob | 1.2.3 | A Simple S3 Class for Representing Vectors of Binary Data (‘BLOBS’) |

BMisc | 1.4.5 | Miscellaneous Functions for Panel Data, Quantiles, and Printing Results |

bookdown | 0.33 | Authoring Books and Technical Documents with R Markdown |

BradleyTerry2 | 1.1-2 | Bradley-Terry Models |

brant | 0.3-0 | Test for Parallel Regression Assumption |

brew | 1.0-8 | Templating Framework for Report Generation |

brglm | 0.7.2 | Bias Reduction in Binomial-Response Generalized Linear Models |

bridgesampling | 1.1-2 | Bridge Sampling for Marginal Likelihoods and Bayes Factors |

brio | 1.1.3 | Basic R Input Output |

Brobdingnag | 1.2-9 | Very Large Numbers in R |

broom | 1.0.1 | Convert Statistical Objects into Tidy Tibbles |

broom.helpers | 1.15.0 | Helpers for Model Coefficients Tibbles |

broom.mixed | 0.2.9.4 | Tidying Methods for Mixed Models |

bslib | 0.4.1 | Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’ |

cachem | 1.0.6 | Cache R Objects with Automatic Pruning |

callr | 3.7.3 | Call R from R |

car | 3.1-1 | Companion to Applied Regression |

carData | 3.0-5 | Companion to Applied Regression Data Sets |

caret | 6.0-94 | Classification and Regression Training |

caTools | 1.18.2 | Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc |

cellranger | 1.1.0 | Translate Spreadsheet Cell Ranges to Rows and Columns |

checkmate | 2.1.0 | Fast and Versatile Argument Checks |

chk | 0.9.0 | Check User-Supplied Function Arguments |

classInt | 0.4-8 | Choose Univariate Class Intervals |

cli | 3.6.2 | Helpers for Developing Command Line Interfaces |

clipr | 0.8.0 | Read and Write from the System Clipboard |

clock | 0.6.1 | Date-Time Types and Tools |

clubSandwich | 0.5.10 | Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections |

coda | 0.19-4 | Output Analysis and Diagnostics for MCMC |

coin | 1.4-2 | Conditional Inference Procedures in a Permutation Test Framework |

collapse | 1.8.9 | Advanced and Fast Data Transformation |

colorspace | 2.0-3 | A Toolbox for Manipulating and Assessing Colors and Palettes |

combinat | 0.0-8 | combinatorics utilities |

commonmark | 1.9.1 | High Performance CommonMark and Github Markdown Rendering in R |

conquer | 1.3.1 | Convolution-Type Smoothed Quantile Regression |

convey | 0.2.4 | Income Concentration Analysis with Complex Survey Samples |

corpcor | 1.6.10 | Efficient Estimation of Covariance and (Partial) Correlation |

correlation | 0.8.4 | Methods for Correlation Analysis |

corrplot | 0.92 | Visualization of a Correlation Matrix |

covr | 3.6.1 | Test Coverage for Packages |

cowplot | 1.1.1 | Streamlined Plot Theme and Plot Annotations for ‘ggplot2’ |

cpp11 | 0.4.3 | A C++11 Interface for R’s C Interface |

crayon | 1.5.2 | Colored Terminal Output |

credentials | 1.3.2 | Tools for Managing SSH and Git Credentials |

crosstalk | 1.2.0 | Inter-Widget Interactivity for HTML Widgets |

crul | 1.3 | HTTP Client |

cubelyr | 1.0.2 | A Data Cube ‘dplyr’ Backend |

Cubist | 0.4.1 | Rule- And Instance-Based Regression Modeling |

curl | 4.3.3 | A Modern and Flexible Web Client for R |

curry | 0.1.1 | Partial Function Application with %<%, %-<%, and %><% |

cvAUC | 1.1.4 | Cross-Validated Area Under the ROC Curve Confidence Intervals |

CVST | 0.2-3 | Fast Cross-Validation via Sequential Testing |

data.table | 1.14.8 | Extension of `data.frame` |

datawizard | 0.9.0 | Easy Data Wrangling and Statistical Transformations |

DBI | 1.1.3 | R Database Interface |

dbplyr | 2.2.1 | A ‘dplyr’ Back End for Databases |

decr | 0.0.8.9000 | Tools to Perform Decompositions of Differences Between Two Groups |

deldir | 1.0-6 | Delaunay Triangulation and Dirichlet (Voronoi) Tessellation |

DEoptimR | 1.0-11 | Differential Evolution Optimization in Pure R |

Deriv | 4.1.3 | Symbolic Differentiation |

desc | 1.4.2 | Manipulate DESCRIPTION Files |

devtools | 2.4.5 | Tools to Make Developing R Packages Easier |

dfidx | 0.0-5 | Indexed Data Frames |

did | 2.1.2 | Treatment Effects with Multiple Periods and Groups |

diffobj | 0.3.5 | Diffs for R Objects |

digest | 0.6.30 | Create Compact Hash Digests of R Objects |

dineq | 0.1.0 | Decomposition of (Income) Inequality |

diptest | 0.76-0 | Hartigan’s Dip Test Statistic for Unimodality – Corrected |

DirectEffects | 0.2.1 | Estimating Controlled Direct Effects for Explaining Causal Findings |

discretization | 1.0-1.1 | Data Preprocessing, Discretization for Classification |

dlookr | 0.6.1 | Tools for Data Diagnosis, Exploration, Transformation |

doParallel | 1.0.17 | Foreach Parallel Adaptor for the ‘parallel’ Package |

downlit | 0.4.2 | Syntax Highlighting and Automatic Linking |

dplyr | 1.1.1 | A Grammar of Data Manipulation |

dpm | 1.1.2 | Dynamic Panel Models Fit with Maximum Likelihood |

DRDID | 1.0.6 | Doubly Robust Difference-in-Differences Estimators |

dreamerr | 1.2.3 | Error Handling Made Easy |

drifr | 0.1.0 | Decomposit Recentered Influence Function Regression with R |

dtplyr | 1.2.2 | Data Table Back-End for ‘dplyr’ |

dummies | 1.5.6 | Create dummy/indicator variables flexibly and efficiently |

dygraphs | 1.1.1.6 | Interface to ‘Dygraphs’ Interactive Time Series Charting Library |

e1071 | 1.7-12 | Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien |

earth | 5.3.1 | Multivariate Adaptive Regression Splines |

easystats | 0.6.0 | Framework for Easy Statistical Modeling, Visualization, and Reporting |

effects | 4.2-2 | Effect Displays for Linear, Generalized Linear, and Other Models |

effectsize | 0.8.5 | Indices of Effect Size |

ellipse | 0.4.3 | Functions for Drawing Ellipses and Ellipse-Like Confidence Regions |

ellipsis | 0.3.2 | Tools for Working with … |

emmeans | 1.7.2 | Estimated Marginal Means, aka Least-Squares Means |

estimability | 1.4.1 | Tools for Assessing Estimability of Linear Predictions |

estimatr | 1.0.0 | Fast Estimators for Design-Based Inference |

etwfe | 0.3.1 | Extended Two-Way Fixed Effects |

evaluate | 0.18 | Parsing and Evaluation Tools that Provide More Details than the Default |

Exact | 3.2 | Unconditional Exact Test |

expm | 0.999-6 | Matrix Exponential, Log, ‘etc’ |

expss | 0.11.4 | Tables, Labels and Some Useful Functions from Spreadsheets and ‘SPSS’ Statistics |

extraDistr | 1.9.1 | Additional Univariate and Multivariate Distributions |

extrafont | 0.19 | Tools for Using Fonts |

extrafontdb | 1.0 | Package for holding the database for the extrafont package |

fancycut | 0.1.2 | A Fancy Version of ‘base::cut’ |

fansi | 1.0.3 | ANSI Control Sequence Aware String Functions |

farver | 2.1.1 | High Performance Colour Space Manipulation |

fastDummies | 1.6.3 | Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables |

fastICA | 1.2-3 | FastICA Algorithms to Perform ICA and Projection Pursuit |

fastmap | 1.1.0 | Fast Data Structures |

fastmatch | 1.1-3 | Fast ‘match()’ Function |

feather | 0.3.5 | R Bindings to the Feather ‘API’ |

fit.models | 0.64 | Compare Fitted Models |

fitdistrplus | 1.1-11 | Help to Fit of a Parametric Distribution to Non-Censored or Censored Data |

fixest | 0.11.1 | Fast Fixed-Effects Estimations |

fmsb | 0.7.5 | Functions for Medical Statistics Book with some Demographic Data |

FNN | 1.1.3.1 | Fast Nearest Neighbor Search Algorithms and Applications |

fontawesome | 0.4.0 | Easily Work with ‘Font Awesome’ Icons |

fontBitstreamVera | 0.1.1 | Fonts with ‘Bitstream Vera Fonts’ License |

fontLiberation | 0.1.0 | Liberation Fonts |

fontquiver | 0.2.1 | Set of Installed Fonts |

forcats | 1.0.0 | Tools for Working with Categorical Variables (Factors) |

foreach | 1.5.2 | Provides Foreach Looping Construct |

Formula | 1.2-5 | Extended Model Formulas |

formulaic | 0.0.8 | Dynamic Generation and Quality Checks of Formula Objects |

fs | 1.6.3 | Cross-Platform File System Operations Based on ‘libuv’ |

furrr | 0.3.1 | Apply Mapping Functions in Parallel using Futures |

future | 1.29.0 | Unified Parallel and Distributed Processing in R for Everyone |

future.apply | 1.10.0 | Apply Function to Elements in Parallel using Futures |

gam | 1.22 | Generalized Additive Models |

gamlss | 5.4-10 | Generalised Additive Models for Location Scale and Shape |

gamlss.data | 6.0-2 | Data for Generalised Additive Models for Location Scale and Shape |

gamlss.dist | 6.0-5 | Distributions for Generalized Additive Models for Location Scale and Shape |

gargle | 1.2.1 | Utilities for Working with Google APIs |

gdata | 2.18.0.1 | Various R Programming Tools for Data Manipulation |

gdtools | 0.3.2 | Utilities for Graphical Rendering and Fonts Management |

gee | 4.13-25 | Generalized Estimation Equation Solver |

generics | 0.1.3 | Common S3 Generics not Provided by Base R Methods Related to Model Fitting |

gert | 1.9.1 | Simple Git Client for R |

gfonts | 0.2.0 | Offline ‘Google’ Fonts for ‘Markdown’ and ‘Shiny’ |

GGally | 2.1.2 | Extension to ‘ggplot2’ |

ggeffects | 1.3.0 | Create Tidy Data Frames of Marginal Effects for ‘ggplot’ from Model Outputs |

ggiraph | 0.8.7 | Make ‘ggplot2’ Graphics Interactive |

ggiraphExtra | 0.3.0 | Make Interactive ‘ggplot2’. Extension to ‘ggplot2’ and ‘ggiraph’ |

ggplot2 | 3.4.3 | Create Elegant Data Visualisations Using the Grammar of Graphics |

ggplotify | 0.1.0 | Convert Plot to ‘grob’ or ‘ggplot’ Object |

ggpubr | 0.5.0 | ‘ggplot2’ Based Publication Ready Plots |

ggrepel | 0.9.2 | Automatically Position Non-Overlapping Text Labels with ‘ggplot2’ |

ggsci | 2.9 | Scientific Journal and Sci-Fi Themed Color Palettes for ‘ggplot2’ |

ggsignif | 0.6.4 | Significance Brackets for ‘ggplot2’ |

ggthemes | 4.2.4 | Extra Themes, Scales and Geoms for ‘ggplot2’ |

gh | 1.3.1 | ‘GitHub’ ‘API’ |

GiniWegNeg | 1.0.1 | Computing the Gini-Based Coefficients for Weighted and Negative Attributes |

git2r | 0.30.1 | Provides Access to Git Repositories |

gitcreds | 0.1.2 | Query ‘git’ Credentials from ‘R’ |

gld | 2.6.6 | Estimation and Use of the Generalised (Tukey) Lambda Distribution |

glmnet | 4.1-7 | Lasso and Elastic-Net Regularized Generalized Linear Models |

globals | 0.16.2 | Identify Global Objects in R Expressions |

glue | 1.6.2 | Interpreted String Literals |

gmm | 1.7 | Generalized Method of Moments and Generalized Empirical Likelihood |

gmodels | 2.18.1.1 | Various R Programming Tools for Model Fitting |

goftest | 1.2-3 | Classical Goodness-of-Fit Tests for Univariate Distributions |

googledrive | 2.0.0 | An Interface to Google Drive |

googlesheets4 | 1.0.1 | Access Google Sheets using the Sheets API V4 |

gower | 1.0.0 | Gower’s Distance |

GPArotation | 2022.10-2 | GPA Factor Rotation |

gplots | 3.1.3 | Various R Programming Tools for Plotting Data |

graph | 1.68.0 | graph: A package to handle graph data structures |

gridExtra | 2.3 | Miscellaneous Functions for Grid Graphics |

gridGraphics | 0.5-1 | Redraw Base Graphics Using ‘grid’ Graphics |

gt | 0.10.1 | Easily Create Presentation-Ready Display Tables |

gtable | 0.3.1 | Arrange ‘Grobs’ in Tables |

gtools | 3.9.3 | Various R Programming Tools |

gtsummary | 1.7.2 | Presentation-Ready Data Summary and Analytic Result Tables |

hardhat | 1.2.0 | Construct Modeling Packages |

haven | 2.5.1 | Import and Export ‘SPSS’, ‘Stata’ and ‘SAS’ Files |

healthequal | 1.0.0 | Compute Summary Measures of Health Inequality |

here | 1.0.1 | A Simpler Way to Find Your Files |

highr | 0.9 | Syntax Highlighting for R Source Code |

Hmisc | 4.7-2 | Harrell Miscellaneous |

hms | 1.1.2 | Pretty Time of Day |

hrbrthemes | 0.8.7 | Additional Themes, Theme Components and Utilities for ‘ggplot2’ |

htmlTable | 2.4.1 | Advanced Tables for Markdown/HTML |

htmltools | 0.5.8.1 | Tools for HTML |

htmlwidgets | 1.6.4 | HTML Widgets for R |

httpcode | 0.3.0 | ‘HTTP’ Status Code Helper |

httpuv | 1.6.6 | HTTP and WebSocket Server Library |

httr | 1.4.4 | Tools for Working with URLs and HTTP |

IC2 | 1.0-1 | Inequality and Concentration Indices and Curves |

ids | 1.0.1 | Generate Random Identifiers |

igraph | 1.3.5 | Network Analysis and Visualization |

import | 1.3.0 | An Import Mechanism for R |

incdist | 0.94-1 | A collection of functions for income distribution analysis |

ineq | 0.2-13 | Measuring Inequality, Concentration, and Poverty |

ineq.2d | 0.1.0 | Two-Dimensional Decomposition of the Theil Index and the Squared Coefficient of Variation |

ini | 0.3.1 | Read and Write ‘.ini’ Files |

inline | 0.3.19 | Functions to Inline C, C++, Fortran Function Calls from R |

insight | 0.19.6 | Easy Access to Model Information for Various Model Objects |

interactions | 1.1.5 | Comprehensive, User-Friendly Toolkit for Probing Interactions |

interflex | 1.2.6 | Multiplicative Interaction Models Diagnostics and Visualization |

interp | 1.1-3 | Interpolation Methods |

inum | 1.0-4 | Interval and Enum-Type Representation of Vectors |

ipred | 0.9-13 | Improved Predictors |

isoband | 0.2.6 | Generate Isolines and Isobands from Regularly Spaced Elevation Grids |

ISwR | 2.0-8 | Introductory Statistics with R |

iterators | 1.0.14 | Provides Iterator Construct |

janitor | 2.1.0 | Simple Tools for Examining and Cleaning Dirty Data |

jomo | 2.7-4 | Multilevel Joint Modelling Multiple Imputation |

jpeg | 0.1-9 | Read and write JPEG images |

jquerylib | 0.1.4 | Obtain ‘jQuery’ as an HTML Dependency Object |

jsonlite | 1.8.3 | A Simple and Robust JSON Parser and Generator for R |

jtools | 2.2.1 | Analysis and Presentation of Social Scientific Data |

juicyjuice | 0.1.0 | Inline CSS Properties into HTML Tags Using ‘juice’ |

kableExtra | 1.3.4 | Construct Complex Table with ‘kable’ and Pipe Syntax |

Kendall | 2.2.1 | Kendall Rank Correlation and Mann-Kendall Trend Test |

kernlab | 0.9-31 | Kernel-Based Machine Learning Lab |

khb | 0.11 | KHB: Comparing nonlinear regression models |

klaR | 1.7-1 | Classification and Visualization |

knitr | 1.41 | A General-Purpose Package for Dynamic Report Generation in R |

ks | 1.14.0 | Kernel Smoothing |

labeling | 0.4.2 | Axis Labeling |

labelled | 2.12.0 | Manipulating Labelled Data |

laeken | 0.5.2 | Estimation of Indicators on Social Exclusion and Poverty |

later | 1.3.0 | Utilities for Scheduling Functions to Execute Later with Event Loops |

latticeExtra | 0.6-30 | Extra Graphical Utilities Based on Lattice |

lava | 1.7.0 | Latent Variable Models |

lavaan | 0.6-12 | Latent Variable Analysis |

lazyeval | 0.2.2 | Lazy (Non-Standard) Evaluation |

leaps | 3.1 | Regression Subset Selection |

lfe | 2.8-8 | Linear Group Fixed Effects |

libcoin | 1.0-9 | Linear Test Statistics for Permutation Inference |

lifecycle | 1.0.3 | Manage the Life Cycle of your Package Functions |

lissyrtools | 0.1.6 | Tools for LISSY Jobs |

listenv | 0.9.0 | Environments Behaving (Almost) as Lists |

lme4 | 1.1-35.3 | Linear Mixed-Effects Models using ‘Eigen’ and S4 |

lmerTest | 3.1-3 | Tests in Linear Mixed Effects Models |

lmom | 2.9 | L-Moments |

Lmoments | 1.3-1 | L-Moments and Quantile Mixtures |

lmtest | 0.9-40 | Testing Linear Regression Models |

loo | 2.5.1 | Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models |

lpSolve | 5.6.17 | Interface to ‘Lp_solve’ v. 5.5 to Solve Linear/Integer Programs |

lubridate | 1.9.2 | Make Dealing with Dates a Little Easier |

maditr | 0.8.3 | Fast Data Aggregation, Modification, and Filtering with Pipes and ‘data.table’ |

magrittr | 2.0.3 | A Forward-Pipe Operator for R |

maptools | 1.1-5 | Tools for Handling Spatial Objects |

marginaleffects | 0.14.0 | Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests |

margins | 0.3.26 | Marginal Effects for Model Objects |

markdown | 1.12 | Render Markdown with ‘commonmark’ |

Matching | 4.10-8 | Multivariate and Propensity Score Matching with Balance Optimization |

MatchIt | 4.5.4 | Nonparametric Preprocessing for Parametric Causal Inference |

matrixcalc | 1.0-6 | Collection of Functions for Matrix Calculations |

MatrixModels | 0.5-1 | Modelling with Sparse and Dense Matrices |

matrixStats | 0.63.0 | Functions that Apply to Rows and Columns of Matrices (and to Vectors) |

maxLik | 1.5-2 | Maximum Likelihood Estimation and Related Tools |

mclust | 6.0.0 | Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation |

mda | 0.5-3 | Mixture and Flexible Discriminant Analysis |

measures | 0.3 | Performance Measures for Statistical Learning |

mediation | 4.5.0 | Causal Mediation Analysis |

memoise | 2.0.1 | ‘Memoisation’ of Functions |

merTools | 0.5.2 | Tools for Analyzing Mixed Effect Regression Models |

mhurdle | 1.3-0 | Multiple Hurdle Tobit Models |

mice | 3.15.0 | Multivariate Imputation by Chained Equations |

microbenchmark | 1.4.9 | Accurate Timing Functions |

mime | 0.12 | Map Filenames to MIME Types |

miniUI | 0.1.1.1 | Shiny UI Widgets for Small Screens |

minqa | 1.2.5 | Derivative-Free Optimization Algorithms by Quadratic Approximation |

misc3d | 0.9-1 | Miscellaneous 3D Plots |

miscTools | 0.6-26 | Miscellaneous Tools and Utilities |

mitml | 0.4-3 | Tools for Multiple Imputation in Multilevel Modeling |

mitools | 2.4 | Tools for Multiple Imputation of Missing Data |

mixR | 0.2.0 | Finite Mixture Modeling for Raw and Binned Data |

mixtools | 2.0.0 | Tools for Analyzing Finite Mixture Models |

mlbench | 2.1-3 | Machine Learning Benchmark Problems |

MLmetrics | 1.1.1 | Machine Learning Evaluation Metrics |

mlogit | 1.1-1 | Multinomial Logit Models |

mnormt | 2.1.1 | The Multivariate Normal and t Distributions, and Their Truncated Versions |

modelbased | 0.8.6 | Estimation of Model-Based Predictions, Contrasts and Means |

ModelMetrics | 1.2.2.2 | Rapid Calculation of Model Metrics |

modelr | 0.1.10 | Modelling Functions that Work with the Pipe |

modelsummary | 1.4.3 | Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready |

modeltools | 0.2-23 | Tools and Classes for Statistical Models |

multcomp | 1.4-20 | Simultaneous Inference in General Parametric Models |

multicool | 0.1-12 | Permutations of Multisets in Cool-Lex Order |

multimode | 1.5 | Mode Testing and Exploring |

munsell | 0.5.0 | Utilities for Using Munsell Colours |

mvtnorm | 1.1-3 | Multivariate Normal and t Distributions |

mycor | 0.1.1 | Automatic Correlation and Regression Test in a ‘data.frame’ |

nFactors | 2.4.1.1 | Parallel Analysis and Other Non Graphical Solutions to the Cattell Scree Test |

nleqslv | 3.3.3 | Solve Systems of Nonlinear Equations |

nloptr | 2.0.3 | R Interface to NLopt |

numDeriv | 2016.8-1.1 | Accurate Numerical Derivatives |

nycflights13 | 1.0.2 | Flights that Departed NYC in 2013 |

oaxaca | 0.1.5 | Blinder-Oaxaca Decomposition |

openssl | 2.0.4 | Toolkit for Encryption, Signatures and Certificates Based on OpenSSL |

openxlsx | 4.2.5.1 | Read, Write and Edit xlsx Files |

optimParallel | 1.0-2 | Parallel Version of the L-BFGS-B Optimization Method |

optimx | 2022-4.30 | Expanded Replacement and Extension of the ‘optim’ Function |

optmatch | 0.10.5 | Functions for Optimal Matching |

ordinal | 2022.11-16 | Regression Models for Ordinal Data |

packrat | 0.8.1 | A Dependency Management System for Projects and their R Package Dependencies |

pacman | 0.5.1 | Package Management Tool |

pagedown | 0.20 | Paginate the HTML Output of R Markdown with CSS for Print |

pamr | 1.56.1 | Pam: Prediction Analysis for Microarrays |

pan | 1.6 | Multiple Imputation for Multivariate Panel or Clustered Data |

pander | 0.6.5 | An R ‘Pandoc’ Writer |

panelr | 0.7.6 | Regression Models and Utilities for Repeated Measures and Panel Data |

parallelly | 1.32.1 | Enhancing the ‘parallel’ Package |

parallelMap | 1.5.1 | Unified Interface to Parallelization Back-Ends |

parameters | 0.21.2 | Processing of Model Parameters |

ParamHelpers | 1.14.1 | Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning |

party | 1.3-11 | A Laboratory for Recursive Partytioning |

partykit | 1.2-16 | A Toolkit for Recursive Partytioning |

pbapply | 1.7-2 | Adding Progress Bar to ‘*apply’ Functions |

pbivnorm | 0.6.0 | Vectorized Bivariate Normal CDF |

pbkrtest | 0.5.1 | Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models |

pcaPP | 2.0-3 | Robust PCA by Projection Pursuit |

pcse | 1.9.1.1 | Panel-Corrected Standard Error Estimation in R |

pdftools | 3.3.3 | Text Extraction, Rendering and Converting of PDF Documents |

performance | 0.10.5 | Assessment of Regression Models Performance |

pewmethods | 1.0 | Pew Research Center Methods Miscellaneous Functions |

pillar | 1.8.1 | Coloured Formatting for Columns |

pkgbuild | 1.4.0 | Find Tools Needed to Build R Packages |

pkgconfig | 2.0.3 | Private Configuration for ‘R’ Packages |

pkgdown | 2.0.7 | Make Static HTML Documentation for a Package |

pkgload | 1.3.2 | Simulate Package Installation and Attach |

plm | 2.6-2 | Linear Models for Panel Data |

plogr | 0.2.0 | The ‘plog’ C++ Logging Library |

plot3D | 1.4 | Plotting Multi-Dimensional Data |

plotly | 4.10.1 | Create Interactive Web Graphics via ‘plotly.js’ |

plotmo | 3.6.2 | Plot a Model’s Residuals, Response, and Partial Dependence Plots |

plotrix | 3.8-2 | Various Plotting Functions |

pls | 2.8-1 | Partial Least Squares and Principal Component Regression |

plyr | 1.8.8 | Tools for Splitting, Applying and Combining Data |

pmml | 2.5.2 | Generate PMML for Various Models |

png | 0.1-7 | Read and write PNG images |

poLCA | 1.6.0.1 | Polytomous Variable Latent Class Analysis |

polyclip | 1.10-4 | Polygon Clipping |

polynom | 1.4-1 | A Collection of Functions to Implement a Class for Univariate Polynomial Manipulations |

ppcor | 1.1 | Partial and Semi-Partial (Part) Correlation |

pracma | 2.4.2 | Practical Numerical Math Functions |

praise | 1.0.0 | Praise Users |

prediction | 0.3.14 | Tidy, Type-Safe ‘prediction()’ Methods |

prettyunits | 1.1.1 | Pretty, Human Readable Formatting of Quantities |

pROC | 1.18.0 | Display and Analyze ROC Curves |

processx | 3.8.0 | Execute and Control System Processes |

prodlim | 2019.11.13 | Product-Limit Estimation for Censored Event History Analysis |

profileModel | 0.6.1 | Profiling Inference Functions for Various Model Classes |

profvis | 0.3.7 | Interactive Visualizations for Profiling R Code |

progress | 1.2.2 | Terminal Progress Bars |

progressr | 0.11.0 | An Inclusive, Unifying API for Progress Updates |

promises | 1.2.0.1 | Abstractions for Promise-Based Asynchronous Programming |

proxy | 0.4-27 | Distance and Similarity Measures |

ps | 1.7.2 | List, Query, Manipulate System Processes |

pscl | 1.5.5 | Political Science Computational Laboratory |

psych | 2.2.9 | Procedures for Psychological, Psychometric, and Personality Research |

psychotools | 0.7-2 | Psychometric Modeling Infrastructure |

psychotree | 0.16-0 | Recursive Partitioning Based on Psychometric Models |

purrr | 1.0.2 | Functional Programming Tools |

qpdf | 1.3.2 | Split, Combine and Compress PDF Files |

quadprog | 1.5-8 | Functions to Solve Quadratic Programming Problems |

quantmod | 0.4.20 | Quantitative Financial Modelling Framework |

quantreg | 5.94 | Quantile Regression |

questionr | 0.7.7 | Functions to Make Surveys Processing Easier |

qvcalc | 1.0.2 | Quasi Variances for Factor Effects in Statistical Models |

R.cache | 0.16.0 | Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations |

R.methodsS3 | 1.8.2 | S3 Methods Simplified |

R.oo | 1.25.0 | R Object-Oriented Programming with or without References |

R.utils | 2.12.2 | Various Programming Utilities |

R6 | 2.5.1 | Encapsulated Classes with Reference Semantics |

ragg | 1.2.4 | Graphic Devices Based on AGG |

randomForest | 4.6-14 | Breiman and Cutler’s Random Forests for Classification and Regression |

randomizr | 0.22.0 | Easy-to-Use Tools for Common Forms of Random Assignment and Sampling |

ranger | 0.14.1 | A Fast Implementation of Random Forests |

RANN | 2.6.1 | Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric |

rappdirs | 0.3.3 | Application Directories: Determine Where to Save Data, Caches, and Logs |

rbibutils | 2.2.10 | Read ‘Bibtex’ Files and Convert Between Bibliography Formats |

rcmdcheck | 1.4.0 | Run ‘R CMD check’ from ‘R’ and Capture Results |

RColorBrewer | 1.1-3 | ColorBrewer Palettes |

Rcpp | 1.0.11 | Seamless R and C++ Integration |

RcppArmadillo | 0.11.4.2.1 | ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library |

RcppEigen | 0.3.4.0.0 | ‘Rcpp’ Integration for the ‘Eigen’ Templated Linear Algebra Library |

RcppParallel | 5.1.5 | Parallel Programming Tools for ‘Rcpp’ |

RcppProgress | 0.4.2 | An Interruptible Progress Bar with OpenMP Support for C++ in R Packages |

RcppTOML | 0.1.7 | ‘Rcpp’ Bindings to Parser for Tom’s Obvious Markup Language |

Rdpack | 2.4 | Update and Manipulate Rd Documentation Objects |

reactable | 0.4.4 | Interactive Data Tables for R |

reactR | 0.4.4 | React Helpers |

readr | 2.1.3 | Read Rectangular Text Data |

readstata13 | 0.10.0 | Import ‘Stata’ Data Files |

readxl | 1.4.1 | Read Excel Files |

recipes | 1.0.5 | Preprocessing and Feature Engineering Steps for Modeling |

relations | 0.6-13 | Data Structures and Algorithms for Relations |

rematch | 1.0.1 | Match Regular Expressions with a Nicer ‘API’ |

rematch2 | 2.1.2 | Tidy Output from Regular Expression Matching |

remotes | 2.4.2.1 | R Package Installation from Remote Repositories, Including ‘GitHub’ |

report | 0.5.7 | Automated Reporting of Results and Statistical Models |

reprex | 2.0.2 | Prepare Reproducible Example Code via the Clipboard |

reshape | 0.8.9 | Flexibly Reshape Data |

reshape2 | 1.4.4 | Flexibly Reshape Data: A Reboot of the Reshape Package |

reticulate | 1.26 | Interface to ‘Python’ |

rex | 1.2.1 | Friendly Regular Expressions |

rgenoud | 5.9-0.3 | R Version of GENetic Optimization Using Derivatives |

Rgraphviz | 2.34.0 | Provides plotting capabilities for R graph objects |

rineq | 0.2.3 | Concentration Index and Decomposition for Health Inequalities |

rio | 0.5.29 | A Swiss-Army Knife for Data I/O |

rJava | 1.0-6 | Low-Level R to Java Interface |

rlang | 1.1.3 | Functions for Base Types and Core R and ‘Tidyverse’ Features |

rlemon | 0.2.0 | R Access to LEMON Graph Algorithms |

rmarkdown | 2.18 | Dynamic Documents for R |

rngtools | 1.5.2 | Utility Functions for Working with Random Number Generators |

robust | 0.7-1 | Port of the S+ Robust Library |

robustbase | 0.95-0 | Basic Robust Statistics |

ROCR | 1.0-11 | Visualizing the Performance of Scoring Classifiers |

rootSolve | 1.8.2.3 | Nonlinear Root Finding, Equilibrium and Steady-State Analysis of Ordinary Differential Equations |

ROSE | 0.0-4 | Random Over-Sampling Examples |

roxygen2 | 7.2.3 | In-Line Documentation for R |

rprojroot | 2.0.3 | Finding Files in Project Subdirectories |

rrcov | 1.7-2 | Scalable Robust Estimators with High Breakdown Point |

rsconnect | 0.8.28 | Deployment Interface for R Markdown Documents and Shiny Applications |

rstantools | 2.2.0 | Tools for Developing R Packages Interfacing with ‘Stan’ |

rstatix | 0.7.1 | Pipe-Friendly Framework for Basic Statistical Tests |

rstudioapi | 0.14 | Safely Access the RStudio API |

Rttf2pt1 | 1.3.12 | ‘ttf2pt1’ Program |

rversions | 2.1.2 | Query ‘R’ Versions, Including ‘r-release’ and ‘r-oldrel’ |

rvest | 1.0.3 | Easily Harvest (Scrape) Web Pages |

RWeka | 0.4-44 | R/Weka Interface |

RWekajars | 3.9.3-2 | R/Weka Interface Jars |

sandwich | 3.0-2 | Robust Covariance Matrix Estimators |

sass | 0.4.9 | Syntactically Awesome Style Sheets (‘Sass’) |

scales | 1.2.1 | Scale Functions for Visualization |

scatterplot3d | 0.3-42 | 3D Scatter Plot |

scorecard | 0.4.1 | Credit Risk Scorecard |

see | 0.8.0 | Model Visualisation Toolbox for ‘easystats’ and ‘ggplot2’ |

segmented | 1.6-1 | Regression Models with Break-Points / Change-Points (with Possibly Random Effects) Estimation |

selectr | 0.4-2 | Translate CSS Selectors to XPath Expressions |

sensemakr | 0.1.4 | Sensitivity Analysis Tools for Regression Models |

servr | 0.26 | A Simple HTTP Server to Serve Static Files or Dynamic Documents |

sessioninfo | 1.2.2 | R Session Information |

sets | 1.0-24 | Sets, Generalized Sets, Customizable Sets and Intervals |

sgeostat | 1.0-27 | An Object-Oriented Framework for Geostatistical Modeling in S+ |

shape | 1.4.6 | Functions for Plotting Graphical Shapes, Colors |

shiny | 1.7.4 | Web Application Framework for R |

shinyjs | 2.1.0 | Easily Improve the User Experience of Your Shiny Apps in Seconds |

shinythemes | 1.2.0 | Themes for Shiny |

showtext | 0.9-5 | Using Fonts More Easily in R Graphs |

showtextdb | 3.0 | Font Files for the ‘showtext’ Package |

sjlabelled | 1.2.0 | Labelled Data Utility Functions |

sjmisc | 2.8.9 | Data and Variable Transformation Functions |

sjstats | 0.18.2 | Collection of Convenient Functions for Common Statistical Computations |

slam | 0.1-50 | Sparse Lightweight Arrays and Matrices |

snakecase | 0.11.0 | Convert Strings into any Case |

sourcetools | 0.1.7 | Tools for Reading, Tokenizing and Parsing R Code |

sp | 1.5-1 | Classes and Methods for Spatial Data |

SparseM | 1.81 | Sparse Linear Algebra |

spatstat | 3.0-2 | Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests |

spatstat.core | 2.4-4 | Core Functionality of the ‘spatstat’ Family |

spatstat.data | 3.0-0 | Datasets for ‘spatstat’ Family |

spatstat.explore | 3.0-5 | Exploratory Data Analysis for the ‘spatstat’ Family |

spatstat.geom | 3.0-3 | Geometrical Functionality of the ‘spatstat’ Family |

spatstat.linnet | 3.0-3 | Linear Networks Functionality of the ‘spatstat’ Family |

spatstat.model | 3.0-2 | Parametric Statistical Modelling for the ‘spatstat’ Family |

spatstat.random | 3.0-1 | Random Generation Functionality for the ‘spatstat’ Family |

spatstat.sparse | 3.0-0 | Sparse Three-Dimensional Arrays and Linear Algebra Utilities |

spatstat.utils | 3.0-1 | Utility Functions for ‘spatstat’ |

splancs | 2.01-43 | Spatial and Space-Time Point Pattern Analysis |

splitstackshape | 1.4.8 | Stack and Reshape Datasets After Splitting Concatenated Values |

spls | 2.2-3 | Sparse Partial Least Squares (SPLS) Regression and Classification |

SQUAREM | 2021.1 | Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms |

srvyr | 1.1.2 | ‘dplyr’-Like Syntax for Summary Statistics of Survey Data |

StanHeaders | 2.21.0-7 | C++ Header Files for Stan |

stargazer | 5.2.3 | Well-Formatted Regression and Summary Statistics Tables |

StatMatch | 1.4.1 | Statistical Matching or Data Fusion |

statmod | 1.5.0 | Statistical Modeling |

strat | 0.1 | An Implementation of the Stratification Index |

stringi | 1.7.8 | Fast and Portable Character String Processing Facilities |

stringr | 1.5.0 | Simple, Consistent Wrappers for Common String Operations |

strucchange | 1.5-3 | Testing, Monitoring, and Dating Structural Changes |

subselect | 0.15.3 | Selecting Variable Subsets |

superpc | 1.12 | Supervised Principal Components |

survey | 4.1-1 | Analysis of Complex Survey Samples |

svglite | 2.1.1 | An ‘SVG’ Graphics Device |

sys | 3.4.1 | Powerful and Reliable Tools for Running System Commands in R |

sysfonts | 0.8.8 | Loading Fonts into R |

systemfit | 1.1-29 | Estimating Systems of Simultaneous Equations |

systemfonts | 1.0.4 | System Native Font Finding |

tables | 0.9.17 | Formula-Driven Table Generation |

TeachingDemos | 2.12 | Demonstrations for Teaching and Learning |

tensor | 1.5 | Tensor product of arrays |

tensorA | 0.36.2 | Advanced Tensor Arithmetic with Named Indices |

tesseract | 5.1.0 | Open Source OCR Engine |

testthat | 3.1.5 | Unit Testing for R |

texreg | 1.39.3 | Conversion of R Regression Output to LaTeX or HTML Tables |

textshaping | 0.3.6 | Bindings to the ‘HarfBuzz’ and ‘Fribidi’ Libraries for Text Shaping |

TH.data | 1.1-1 | TH’s Data Archive |

threejs | 0.3.3 | Interactive 3D Scatter Plots, Networks and Globes |

tibble | 3.2.1 | Simple Data Frames |

tictoc | 1.1 | Functions for Timing R Scripts, as Well as Implementations of Stack and List Structures |

tidyr | 1.2.1 | Tidy Messy Data |

tidyselect | 1.2.0 | Select from a Set of Strings |

tidyverse | 1.3.2 | Easily Install and Load the ‘Tidyverse’ |

timechange | 0.1.1 | Efficient Manipulation of Date-Times |

timeDate | 4021.106 | Rmetrics – Chronological and Calendar Objects |

tinytex | 0.42 | Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents |

TMB | 1.9.1 | Template Model Builder: A General Random Effect Tool Inspired by ‘ADMB’ |

tmvnsim | 1.0-2 | Truncated Multivariate Normal Simulation |

trend | 1.1.4 | Non-Parametric Trend Tests and Change-Point Detection |

triebeard | 0.4.1 | ‘Radix’ Trees in ‘Rcpp’ |

tripack | 1.3-9.1 | Triangulation of Irregularly Spaced Data |

truncreg | 0.2-5 | Truncated Gaussian Regression Models |

trust | 0.1-8 | Trust Region Optimization |

tseries | 0.10-52 | Time Series Analysis and Computational Finance |

TTR | 0.24.3 | Technical Trading Rules |

twopartm | 0.1.0 | Two-Part Model with Marginal Effects |

tzdb | 0.3.0 | Time Zone Database Information |

ucminf | 1.1-4.1 | General-Purpose Unconstrained Non-Linear Optimization |

unbalanced | 2.0 | Racing for Unbalanced Methods Selection |

urlchecker | 1.0.1 | Run CRAN URL Checks from Older R Versions |

urltools | 1.7.3 | Vectorised Tools for URL Handling and Parsing |

usethis | 2.1.6 | Automate Package and Project Setup |

utf8 | 1.2.2 | Unicode Text Processing |

uuid | 1.1-0 | Tools for Generating and Handling of UUIDs |

V8 | 4.4.2 | Embedded JavaScript and WebAssembly Engine for R |

varImp | 0.4 | RF Variable Importance for Arbitrary Measures |

vcd | 1.4-10 | Visualizing Categorical Data |

vctrs | 0.6.5 | Vector Helpers |

VGAM | 1.1-11 | Vector Generalized Linear and Additive Models |

viridis | 0.6.5 | Colorblind-Friendly Color Maps for R |

viridisLite | 0.4.1 | Colorblind-Friendly Color Maps (Lite Version) |

vroom | 1.6.0 | Read and Write Rectangular Text Data Quickly |

waldo | 0.4.0 | Find Differences Between R Objects |

webp | 1.1.0 | A New Format for Lossless and Lossy Image Compression |

webshot | 0.5.4 | Take Screenshots of Web Pages |

websocket | 1.4.1 | ‘WebSocket’ Client Library |

WeMix | 4.0.3 | Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation |

whisker | 0.4 | {{mustache}} for R, Logicless Templating |

withr | 2.5.0 | Run Code ‘With’ Temporarily Modified Global State |

writexl | 1.4.1 | Export Data Frames to Excel ‘xlsx’ Format |

xefun | 0.1.3 | X-Engineering or Supporting Functions |

xfun | 0.43 | Supporting Functions for Packages Maintained by ‘Yihui Xie’ |

xgboost | 1.7.8.1 | Extreme Gradient Boosting |

XML | 3.99-0.12 | Tools for Parsing and Generating XML Within R and S-Plus |

xml2 | 1.3.3 | Parse XML |

xopen | 1.0.0 | Open System Files, ‘URLs’, Anything |

xtable | 1.8-4 | Export Tables to LaTeX or HTML |

xts | 0.12.2 | eXtensible Time Series |

yaml | 2.3.6 | Methods to Convert R Data to YAML and Back |

yulab.utils | 0.0.6 | Supporting Functions for Packages Maintained by ‘YuLab-SMU’ |

zip | 2.2.2 | Cross-Platform ‘zip’ Compression |

zoo | 1.8-11 | S3 Infrastructure for Regular and Irregular Time Series (Z’s Ordered Observations) |