This package is considered a duplicate. The official version of this package is found at:https://timobechger.r-universe.dev/dexterMST

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'))

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

Pkgdown site:https://dexter-psychometrics.github.io

Uses libs:

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

cpp openmp

2.70 score 366 downloads 28 exports 41 dependencies

Last updated 1 years agofrom:aa2c93f4e2. Checks:2 OK. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 26 2025
R-4.5-linux-x86_64	OK	Jan 26 2025

Exports:ability ability_tables add_booklet_mst add_item_properties_mst add_person_properties_mst add_response_data_mst add_scoring_rules_mst alter_scoring_rules_mst close_mst_project create_mst_project create_mst_test design_plot DIF_mst fit_enorm_mst fit_inter_mst get_booklets_mst get_design_mst get_items_mst get_persons_mst get_responses_mst get_routing_rules_mst get_scoring_rules_mst import_from_dexter mst_rules open_mst_project plausible_values profile_tables_mst sim_mst

Dependencies:BH bit bit64 blob cachem cli cpp11 crayon DBI dexter dplyr dqrng fansi fastmap generics glue igraph lattice lifecycle magrittr MASS Matrix memoise pillar pkgconfig plogr purrr R6 Rcpp RcppArmadillo rlang RSQLite sitmo stringi stringr tibble tidyr tidyselect utf8 vctrs withr

dexterMST: dexter for Multi-Stage Tests

Timo Bechger, Jesse Koops, Robert Zwitser, Ivailo Partchev, Gunter Maris

Rendered frommultistage_fundamentals.Rmdusingknitr::rmarkdownon Jan 26 2025.

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

Citation

Readme and manuals

Help Manual

Help page	Topics
DexterMST: CML calibration and data management for multi stage tests	dexterMST-package dexterMST
Add item properties to an dextermst project	add_item_properties_mst
Add person properties to a mst project	add_person_properties_mst
Add multistage response data	add_booklet_mst add_response_data_mst
add scoring rules to an mst project	add_scoring_rules_mst
alter scoring rules in an mst project	alter_scoring_rules_mst
Close an mst project	close_mst_project
create a new (empty) mst project	create_mst_project
Define a new multi stage test	create_mst_test
Plot the routing design of mst tests	design_plot
Exploratory test for Differential Item Functioning	DIF_mst
Fit the extended nominal response model on MST data	fit_enorm_mst
Fit the interaction model on a single multi-stage booklet	fit_inter_mst
retrieve information from a mst database	get_booklets_mst get_design_mst get_items_mst get_persons_mst get_routing_rules_mst get_scoring_rules_mst
Extract response data from a dexterMST database	get_responses_mst
import data from a dexter project	import_from_dexter
Define routing rules	mst_rules
open an existing mst project	open_mst_project
plot method for DIF_mst	plot.DIF_stats_mst
plots for the interaction model	plot.im_mst
Profile analysis	profile_tables_mst
Simulate multistage testing data	sim_mst