Package: dexterMST 0.9.6
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>.
Authors:
dexterMST_0.9.6.tar.gz
dexterMST_0.9.6.tar.gz(r-4.5-noble)dexterMST_0.9.6.tar.gz(r-4.4-noble)
dexterMST_0.9.6.tgz(r-4.4-emscripten)dexterMST_0.9.6.tgz(r-4.3-emscripten)
dexterMST.pdf |dexterMST.html✨
dexterMST/json (API)
NEWS
# Install 'dexterMST' in R: |
install.packages('dexterMST', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dexter-psychometrics/dexter/issues
Pkgdown:https://dexter-psychometrics.github.io
Last updated 1 years agofrom:aa2c93f4e2. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 27 2024 |
R-4.5-linux-x86_64 | OK | Nov 27 2024 |
Exports:abilityability_tablesadd_booklet_mstadd_item_properties_mstadd_person_properties_mstadd_response_data_mstadd_scoring_rules_mstalter_scoring_rules_mstclose_mst_projectcreate_mst_projectcreate_mst_testdesign_plotDIF_mstfit_enorm_mstfit_inter_mstget_booklets_mstget_design_mstget_items_mstget_persons_mstget_responses_mstget_routing_rules_mstget_scoring_rules_mstimport_from_dextermst_rulesopen_mst_projectplausible_valuesprofile_tables_mstsim_mst
Dependencies:BHbitbit64blobcachemclicpp11crayonDBIdexterdplyrdqrngfansifastmapgenericsglueigraphlatticelifecyclemagrittrMASSMatrixmemoisepillarpkgconfigplogrpurrrR6RcppRcppArmadillorlangRSQLitesitmostringistringrtibbletidyrtidyselectutf8vctrswithr