dexterMST: CML and Bayesian Calibration of Multistage Tests

Conditional Maximum Likelihood Calibration and data management of multistage tests. Supports polytomous items and incomplete designs with linear as well as multistage tests. Extended Nominal Response and Interaction models, DIF and profile analysis. See Robert J. Zwitser and Gunter Maris (2015)<doi:10.1007/s11336-013-9369-6>.

Version: 0.9.6
Depends: R (≥ 3.4)
Imports: Rcpp, RcppArmadillo, dexter (≥ 1.2.2), dplyr, RSQLite, rlang, igraph (≥ 1.2.1), tidyr, DBI, crayon, graphics, methods, stats, utils
LinkingTo: Rcpp, RcppArmadillo (≥
Suggests: knitr, rmarkdown, testthat, mirt, ggplot2, Cairo
Published: 2023-12-05
DOI: 10.32614/CRAN.package.dexterMST
Author: Timo Bechger [aut, cre], Jesse Koops [aut], Ivailo Partchev [aut], Gunter Maris [aut], Robert Zwitser [ctb]
Maintainer: Timo Bechger <tmbechger at>
License: LGPL-3
NeedsCompilation: yes
Materials: README NEWS
In views: Psychometrics
CRAN checks: dexterMST results


Reference manual: dexterMST.pdf
Vignettes: dexterMST


Package source: dexterMST_0.9.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): dexterMST_0.9.6.tgz, r-oldrel (arm64): dexterMST_0.9.6.tgz, r-release (x86_64): dexterMST_0.9.6.tgz, r-oldrel (x86_64): dexterMST_0.9.6.tgz
Old sources: dexterMST archive

Reverse dependencies:

Reverse suggests: tmt


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