mpt
mpt Fitting and testing multinomial processing tree models, a class of statistical models for categorical data. The parameters are the link probabilities of a tree-like graph and represent the latent...
View ArticleplsRglm
plsRglm This package provides Partial least squares Regression for (weighted) generalized linear models and kfold crossvalidation of such models using various criteria. It allows for missing data in...
View Articleqgraph
qgraph The qgraph package can be used to visualize data as networks. cran_package_id: 3313 cran_package_latest_version_id: qgraphcran_package_users_count: 0 cran_package_score: 0 Overall: 0Your...
View ArticlemRm
mRm Conditional maximum likelihood estimation via the EM algorithm and information-criterion-based model selection in binary mixed Rasch models. cran_package_id: 4106 cran_package_latest_version_id:...
View ArticleEstCRM
EstCRM The EstCRM package estimates item and person parameters for the Samejima's Continuous Response Model (CRM), computes item fit residual statistics, draws empirical 3D item category response...
View Articlemirt
mirt Analysis of dichotomous and polytomous response data using latent trait models under the Item Response Theory paradigm. Exploratory models can be estimated via quadrature or stochastic methods, a...
View ArticleKernSmoothIRT
KernSmoothIRT This package fits nonparametric item and option characteristic curves using kernel smoothing. It allows for optimal selection of the smoothing bandwidth using cross-validation and a...
View ArticlecacIRT
cacIRT Computes classification accuracy and consistency under Item Response Theory by the approach proposed by Lee, Hanson & Brennen (2002) and Lee (2010) or the approach proposed by Rudner (2001,...
View Articlepsychotools
psychotools Infrastructure for psychometric modeling such as data classes (e.g., for paired comparisons) and basic model fitting functions (e.g., for Rasch and Bradley-Terry models). Intended...
View Articlepsychomix
psychomix Psychometric mixture models based on flexmix infrastructure. At the moment Rasch mixture models with different parametrizations of the score distribution (saturated vs. mean/variance...
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