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laeken - Estimation of Indicators on Social Exclusion and Poverty

Estimation of indicators on social exclusion and poverty, as well as Pareto tail modeling for empirical income distributions.

Last updated

9.76 score 3 stars 30 dependents 341 scripts 16k downloads

robustHD - Robust Methods for High-Dimensional Data

Robust methods for high-dimensional data, in particular linear model selection techniques based on least angle regression and sparse regression. Specifically, the package implements robust least angle regression (Khan, Van Aelst & Zamar, 2007; <doi:10.1198/016214507000000950>), (robust) groupwise least angle regression (Alfons, Croux & Gelper, 2016; <doi:10.1016/j.csda.2015.02.007>), and sparse least trimmed squares regression (Alfons, Croux & Gelper, 2013; <doi:10.1214/12-AOAS575>).

Last updated

openblascppopenmp

8.30 score 12 stars 8 dependents 299 scripts 5.2k downloads

cvTools - Cross-validation tools for regression models

Tools that allow developers to write functions for cross-validation with minimal programming effort and assist users with model selection.

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7.45 score 8 stars 17 dependents 535 scripts 3.2k downloads

robmed - (Robust) Mediation Analysis

Perform mediation analysis via the fast-and-robust bootstrap test ROBMED (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>), as well as various other methods. Details on the implementation and code examples can be found in Alfons, Ates, and Groenen (2022b) <doi:10.18637/jss.v103.i13>. Further discussion on robust mediation analysis can be found in Alfons & Schley (2025) <doi:10.1002/wics.70051>.

Last updated

6.26 score 6 stars 1 dependents 40 scripts 217 downloads

ccaPP - (Robust) Canonical Correlation Analysis via Projection Pursuit

Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and nonparametric methods.

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openblascpp

6.10 score 2 stars 3 dependents 30 scripts 4.7k downloads

perry - Resampling-Based Prediction Error Estimation for Regression Models

Tools that allow developers to write functions for prediction error estimation with minimal programming effort and assist users with model selection in regression problems.

Last updated

5.50 score 2 stars 10 dependents 22 scripts 4.8k downloads

simFrame - Simulation Framework

A general framework for statistical simulation, which allows researchers to make use of a wide range of simulation designs with minimal programming effort. The package provides functionality for drawing samples from a distribution or a finite population, for adding outliers and missing values, as well as for visualization of the simulation results. It follows a clear object-oriented design and supports parallel computing to increase computational performance.

Last updated

cpp

4.46 score 2 stars 82 scripts 3.5k downloads

r2spss - Format R Output to Look Like SPSS

Create plots and LaTeX tables that look like SPSS output for use in teaching materials. Rather than copying-and-pasting SPSS output into documents, R code that mocks up SPSS output can be integrated directly into dynamic LaTeX documents with tools such as knitr. Functionality includes statistical techniques that are typically covered in introductory statistics classes: descriptive statistics, common hypothesis tests, ANOVA, and linear regression, as well as box plots, histograms, scatter plots, and line plots (including profile plots).

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4.30 score 4 stars 1 scripts 186 downloads

clusterGGM - Sparse Gaussian Graphical Modeling with Variable Clustering

Perform sparse estimation of a Gaussian graphical model (GGM) with node aggregation through variable clustering. Currently, the package implements the clusterpath estimator of the Gaussian graphical model (CGGM) (Touw, Alfons, Groenen & Wilms, 2025; <doi:10.48550/arXiv.2407.00644>).

Last updated

cpp

3.85 score 137 downloads

perryExamples - Examples for Integrating Prediction Error Estimation into Regression Models

Examples for integrating package 'perry' for prediction error estimation into regression models.

Last updated

3.21 score 3.3k downloads

RMCLab - Lab for Matrix Completion and Imputation of Discrete Rating Data

Collection of methods for rating matrix completion, which is a statistical framework for recommender systems. Another relevant application is the imputation of rating-scale survey data in the social and behavioral sciences. Note that matrix completion and imputation are synonymous terms used in different streams of the literature. The main functionality implements robust matrix completion for discrete rating-scale data with a low-rank constraint on a latent continuous matrix (Archimbaud, Alfons, and Wilms (2025) <doi:10.48550/arXiv.2412.20802>). In addition, the package provides wrapper functions for 'softImpute' (Mazumder, Hastie, and Tibshirani, 2010, <https://www.jmlr.org/papers/v11/mazumder10a.html>; Hastie, Mazumder, Lee, Zadeh, 2015, <https://www.jmlr.org/papers/v16/hastie15a.html>) for easy tuning of the regularization parameter, as well as benchmark methods such as median imputation and mode imputation.

Last updated

openblascpp

3.00 score 1 scripts 175 downloads

robmedExtra - Extra Functionality for (Robust) Mediation Analysis

This companion package extends the package 'robmed' (Alfons, Ates & Groenen, 2022b; <doi:10.18637/jss.v103.i13>) in various ways. Most notably, it provides a graphical user interface for the robust bootstrap test ROBMED (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>) to make the method more accessible to less proficient 'R' users, as well as functions to export the results as a table in a 'Microsoft Word' or 'Microsoft Powerpoint' document, or as a 'LaTeX' table. Furthermore, the package contains a 'shiny' app to compare various bootstrap procedures for mediation analysis on simulated data.

Last updated

2.70 score 1 stars 541 downloads

sparseLTSEigen - RcppEigen back end for sparse least trimmed squares regression

Use RcppEigen to fit least trimmed squares regression models with an L1 penalty in order to obtain sparse models.

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cppopenmp

2.00 score 1 stars 1 scripts 215 downloads