CRAN/E | sirt

sirt

Supplementary Item Response Theory Models

Installation

About

Supplementary functions for item response models aiming to complement existing R packages. The functionality includes among others multidimensional compensatory and noncompensatory IRT models (Reckase, 2009, doi:10.1007/978-0-387-89976-3), MCMC for hierarchical IRT models and testlet models (Fox, 2010, doi:10.1007/978-1-4419-0742-4), NOHARM (McDonald, 1982, doi:10.1177/014662168200600402), Rasch copula model (Braeken, 2011, doi:10.1007/s11336-010-9190-4; Schroeders, Robitzsch & Schipolowski, 2014, doi:10.1111/jedm.12054), faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011, doi:10.1111/j.1745-3984.2011.00143.x), ordinal IRT model (ISOP; Scheiblechner, 1995, doi:10.1007/BF02301417), DETECT statistic (Stout, Habing, Douglas & Kim, 1996, doi:10.1177/014662169602000403), local structural equation modeling (LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016, doi:10.1080/00273171.2016.1142856).

Citation sirt citation info
github.com/alexanderrobitzsch/sirt
sites.google.com/view/alexander-robitzsch/software

Key Metrics

Version 4.1-15
R ≥ 3.5
Published 2024-02-06 52 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks sirt results

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Maintainer

Maintainer

Alexander Robitzsch

robitzsch@ipn.uni-kiel.de

Authors

Alexander Robitzsch

aut / cre

(<https://orcid.org/0000-0002-8226-3132>)

Material

README
NEWS
Reference manual
Package source

In Views

Psychometrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sirt archive

Depends

R ≥ 3.5

Imports

CDM
graphics
methods
parallel
pbapply
Rcpp
stats
TAM
utils

Suggests

coda
igraph
lavaan
MASS
Matrix
miceadds
minqa
mirt
mvtnorm
nloptr
optimx
pbivnorm
pbv
psych
sfsmisc
sm
survey

LinkingTo

pbv
Rcpp
RcppArmadillo

Reverse Depends

subscore

Reverse Imports

cdmTools
discnorm
GRShiny
immer
LAM
mdmb
MLEce
STARTS

Reverse Suggests

dextergui
LSAmitR
miceadds
mirt
shortIRT

Reverse Enhances

mnlfa