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 12 months ago
9.46 score 3 stars 29 dependents 300 scripts 9.2k downloadscvTools - 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.
Last updated 13 years ago
7.05 score 8 stars 18 dependents 460 scripts 1.4k downloadsrobustHD - 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 7 months ago
openblascppopenmp
6.98 score 10 stars 8 dependents 189 scripts 1.4k downloadsrobmed - (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>.
Last updated 2 months ago
6.14 score 6 stars 1 dependents 31 scripts 558 downloadsccaPP - (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.
Last updated 5 months ago
openblascpp
5.47 score 2 stars 3 dependents 27 scripts 1.2k downloadsperry - 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 3 years ago
4.78 score 2 stars 10 dependents 20 scripts 1.0k downloadsr2spss - 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).
Last updated 3 years ago
4.18 score 3 stars 1 scripts 225 downloadssimFrame - 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 3 years ago
cpp
3.90 score 2 stars 80 scripts 478 downloadsperryExamples - Examples for Integrating Prediction Error Estimation into Regression Models
Examples for integrating package 'perry' for prediction error estimation into regression models.
Last updated 3 years ago
2.70 score 215 downloadssparseLTSEigen - 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.
Last updated 10 years ago
cppopenmp
2.00 score 1 stars 1 scripts 183 downloads