SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project PsychoR.

Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).

Packages

Gifi

Multivariate Analysis with Optimal Scaling

  Implements categorical principal component analysis (PRINCALS), multiple correspondence analysis (HOMALS). It replaces the homals package.
  Version: 0.3-8 | Last change: 2018-10-03 14:40:17+02 | Rev.: 326
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get Gifi 0.3-8 from CRAN
  R install command: install.packages("Gifi", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


MPsychoR

Modern Psychometrics with R

  Supplementary materials and datasets for the book "Modern Psychometrics With R" (Mair, 2018, Springer useR! series).
  Version: 0.10-7 | Last change: 2018-05-25 05:14:57+02 | Rev.: 306
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get MPsychoR 0.10-7 from CRAN
  R install command: install.packages("MPsychoR", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


WRS2

A Collection of Robust Statistical Methods

  A collection of robust statistical methods based on Wilcox WRS functions. It implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs), quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures.
  Version: 0.10-0 | Last change: 2018-06-14 06:12:08+02 | Rev.: 321
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get WRS2 0.9-2 from CRAN
  R install command: install.packages("WRS2", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


anacor

Simple and Canonical Correspondence Analysis

  Performs simple and canonical CA (covariates on rows/columns) on a two-way frequency table (with missings) by means of SVD. Different scaling methods (standard, centroid, Benzecri, Goodman) as well as various plots including confidence ellipsoids are provided.
  Version: 1.1-3 | Last change: 2017-04-29 22:44:32+02 | Rev.: 268
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get anacor 1.1-3 from CRAN
  R install command: install.packages("anacor", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


aspect

A General Framework for Multivariate Analysis with Optimal Scaling

  Contains various functions for optimal scaling. One function performs optimal scaling by maximizing an aspect (i.e. a target function such as the sum of eigenvalues, sum of squared correlations, squared multiple correlations, etc.) of the corresponding correlation matrix. Another function performs implements the LINEALS approach for optimal scaling by minimization of an aspect based on pairwise correlations and correlation ratios. The resulting correlation matrix and category scores can be used for further multivariate methods such as structural equation models.
  Version: 1.0-5 | Last change: 2018-05-26 00:44:34+02 | Rev.: 309
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get aspect 1.0-5 from CRAN
  R install command: install.packages("aspect", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


cfa

Configural Frequency Analysis (CFA)

  Analysis of configuration frequencies for simple and repeated measures, multiple-samples CFA, hierarchical CFA, bootstrap CFA, functional CFA, Kieser-Victor CFA, and Lindners test using a conventional and an accelerated algorithm.
  Version: 0.10-0 | Last change: 2017-04-29 22:44:32+02 | Rev.: 268
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get cfa 0.10-0 from CRAN
  R install command: install.packages("cfa", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


eRm

Extended Rasch Modeling

  Fits Rasch models (RM), linear logistic test models (LLTM), rating scale model (RSM), linear rating scale models (LRSM), partial credit models (PCM), and linear partial credit models (LPCM). Missing values are allowed in the data matrix. Additional features are the ML estimation of the person parameters, Andersens LR-test, item-specific Wald test, Martin-Loef-Test, nonparametric Monte-Carlo Tests, itemfit and personfit statistics including infit and outfit measures, ICC and other plots, automated stepwise item elimination, simulation module for various binary data matrices.
  Version: 0.16-2 | Last change: 2018-10-02 22:22:45+02 | Rev.: 325
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get eRm 0.16-2 from CRAN
  R install command: install.packages("eRm", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


isotone

Active Set and Generalized PAVA for Isotone Optimization

  Contains two main functions: one for solving general isotone regression problems using the pool-adjacent-violators algorithm (PAVA); another one provides a framework for active set methods for isotone optimization problems with arbitrary order restrictions. Various types of loss functions are prespecified.
  Version: 1.1-0 | Last change: 2015-08-06 21:01:15+02 | Rev.: 183
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get isotone 1.1-0 from CRAN
  R install command: install.packages("isotone", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


semds

Structural Equation Multidimensional Scaling

  Fits a structural equation multidimensional scaling (SEMDS) model for asymmetric and three-way input dissimilarities. It assumes that the dissimilarities are measured with errors. The latent dissimilarities are estimated as factor scores within an SEM framework while the objects are represented in a low-dimensional space as in MDS.
  Version: 0.9-5 | Last change: 2018-06-16 01:16:21+02 | Rev.: 323
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get semds 0.9-5 from CRAN
  R install command: install.packages("semds", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


smacof

Multidimensional Scaling

  Implements the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): ratio/interval/ordinal/spline MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal), MDS with spherical restrictions, and ratio/interval/ordinal/spline unfolding (circular restrictions, row-conditional). Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, inverse MDS, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.
  Version: 1.10-8 | Last change: 2018-06-14 06:12:08+02 | Rev.: 321
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get smacof 1.10-8 from CRAN
  R install command: install.packages("smacof", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)

 

Build status codes

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