Package: dexterMST 0.9.6

Timo Bechger

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:Timo Bechger [aut, cre], Jesse Koops [aut], Ivailo Partchev [aut], Gunter Maris [aut], Robert Zwitser [ctb]

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'))

Peer review:

Bug tracker:https://github.com/dexter-psychometrics/dexter/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

3.23 score 17 scripts 430 downloads 28 exports 41 dependencies

Last updated 11 months agofrom:aa2c93f4e2. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 28 2024
R-4.5-linux-x86_64OKSep 28 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

dexterMST: dexter for Multi-Stage Tests

Rendered frommultistage_fundamentals.Rmdusingknitr::rmarkdownon Sep 28 2024.

Last update: 2023-11-29
Started: 2018-07-28