|Maintainer:||Patrick Mair, Yves Rosseel, Kathrin Gruber|
|Contact:||mair at fas.harvard.edu|
|Contributions:||Suggestions and improvements for this task view are very welcome and can be made through issues or pull requests on GitHub or via e-mail to the maintainer address. For further details see the Contributing guide.|
|Citation:||Patrick Mair, Yves Rosseel, Kathrin Gruber (2023). CRAN Task View: Psychometric Models and Methods. Version 2023-07-18. URL https://CRAN.R-project.org/view=Psychometrics.|
|Installation:||The packages from this task view can be installed automatically using the ctv package. For example, |
Psychometrics is concerned with theory and techniques of psychological measurement. Psychometricians have also worked collaboratively with those in the field of statistics and quantitative methods to develop improved ways to organize, analyze, and scale corresponding data. Since much functionality is already contained in base R and there is considerable overlap between tools for psychometry and tools described in other views, we only give a brief overview of packages that are closely related to psychometric methodology.
Contributions are always welcome and encouraged, either via e-mail to the maintainer or by submitting an issue or pull request in the GitHub repository linked above.
mca()in package MASS.
made4(see also here ).
fa.poly()(ordinal data) in psych.
VSS()for estimating the appropriate number of factors/components as well as
ICLUST()for item clustering.
svd(), preferred) as well as
eigen()for compatibility with S-PLUS). Additional rotation methods for FA based on gradient projection algorithms can be found in the package GPArotation. The package nFactors produces a non-graphical solution to the Cattell scree test. Some graphical PCA representations can be found in the psy package. paran implements Horn’s test of principal components/factors.
cmdscale()function. Sammon mapping
sammon()and non-metric MDS
isoMDS()are other relevant functions.
metaMDS()in vegan. Furthermore, labdsv and ecodist provide the function
nmds(). Also, the ExPosition implements a function for metric MDS.
capscale()in vegan; in labdsv and ecodist using
lca(). Another package is poLCA for polytomous variable latent class analysis. LCA can also be fitted using flexmix which optionally allows for the inclusion of concomitant variables and latent class regression.
|Core:||ade4, anacor, blavaan, ca, CTT, eRm, Gifi, lavaan, ltm, mirt, mokken, OpenMx, prefmod, psy, psych, psychotree, smacof, TAM, vegan.|
|Regular:||aspect, asymmetry, ata, BayesLCA, betafunctions, betareg, birtr, bootnet, bpca, BradleyTerry2, BTLLasso, cabootcrs, cacIRT, candisc, catR, CAvariants, CDM, cds, ClustVarLV, cncaGUI, cNORM, cocor, cocorresp, cocron, conquestr, cops, cSEM, CTTShiny, DAKS, dexter, dextergui, dexterMST, DFIT, DIFboost, DIFlasso, difNLR, DIFplus, difR, DIFtree, dina, Dire, DistatisR, e1071, eba, ecodist, edina, edmdata, edstan, eegkit, EFAutilities, EGAnet, elasticnet, equate, equateIRT, equateMultiple, errum, esaBcv, EstCRM, EstimateGroupNetwork, ExPosition, FactoMineR, faoutlier, fastICA, fechner, flexmix, fourPNO, GDINA, gimme, glasso, GLMMRR, GPArotation, GPCMlasso, graphicalVAR, gtheory, heplots, homals, iarm, ica, ICC, iccbeta, ifaTools, immer, influence.SEM, irr, irtDemo, irtoys, irtrees, IRTShiny, IsingFit, IsingSampler, jrt, kequate, kst, labdsv, LAM, latdiag, lava, LAWBL, LCAvarsel, lisrelToR, lme4, LNIRT, lordif, lsl, lslx, lvnet, maat, MASS, MCAvariants, MCMCglmm, MCMCpack, medflex, mediation, metaSEM, mgm, MIIVsem, mirtCAT, missMDA, MixedPsy, MLCIRTwithin, MLDS, mlVAR, MplusAutomation, mpt, MPTinR, mudfold, MultiLCIRT, multiplex, multiway, munfold, NetworkComparisonTest, NetworkToolbox, networktools, networktree, nFactors, nlme, nlsem, nsprcomp, ohoegdm, optiscale, ordinal, pairwise, paran, pcaPP, pcFactorStan, pcIRT, PCMRS, piecewiseSEM, pks, PLMIX, PLmixed, plotSEMM, pls, poLCA, polycor, PP, profileR, PROsetta, pscl, psychomix, psychonetrics, psychotools, psychTools, psyphy, PTAk, pwrRasch, qcv, qgraph, quickpsy, randomLCA, RaschSampler, regsem, REQS, Rirt, rpf, rrum, rsem, sem, semds, semPlot, SEMsens, semTools, semtree, SensoMineR, ShinyItemAnalysis, Sim.DiffProc, simcdm, simsem, sirt, slcm, soc.ca, SparseFactorAnalysis, STARTS, subscore, systemfit, TestDataImputation, TestDesign, TestScorer, ThreeWay, thurstonianIRT, tidyLPA, TreeBUGS, TripleR, VGAM, wCorr, WrightMap, xxIRT.|