Package: mokken 3.1.2

mokken: Conducts Mokken Scale Analysis

Contains functions for performing Mokken scale analysis on test and questionnaire data. It includes an automated item selection algorithm, and various checks of model assumptions.

Authors:L. Andries van der Ark [aut, cre], Letty Koopman [aut], J. Hendrik Straat [ctb], Don van den Bergh [ctb]

mokken_3.1.2.tar.gz
mokken_3.1.2.zip(r-4.7)mokken_3.1.2.zip(r-4.6)mokken_3.1.2.zip(r-4.5)
mokken_3.1.2.tgz(r-4.6-x86_64)mokken_3.1.2.tgz(r-4.6-arm64)mokken_3.1.2.tgz(r-4.5-x86_64)mokken_3.1.2.tgz(r-4.5-arm64)
mokken_3.1.2.tar.gz(r-4.7-arm64)mokken_3.1.2.tar.gz(r-4.7-x86_64)mokken_3.1.2.tar.gz(r-4.6-arm64)mokken_3.1.2.tar.gz(r-4.6-x86_64)
mokken_3.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mokken/json (API)

# Install 'mokken' in R:
install.packages('mokken', repos = c('https://avdrark.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

3.72 score 2 stars 1 packages 88 scripts 907 downloads 30 mentions 18 exports 4 dependencies

Last updated from:5afc93a8c2. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK159
linux-devel-x86_64OK144
source / vignettesOK202
linux-release-arm64OK127
linux-release-x86_64OK125
macos-release-arm64OK101
macos-release-x86_64OK280
macos-oldrel-arm64OK130
macos-oldrel-x86_64OK209
windows-develOK132
windows-releaseOK144
windows-oldrelOK118
wasm-releaseOK101

Exports:aispcheck.boundscheck.cacheck.errorscheck.iiocheck.monotonicitycheck.normscheck.pmatrixcheck.reliabilitycheck.restscorecoefHcoefZICCMLcoefHMLcoefZMLweightrecodetwoway

Dependencies:MASSpoLCARcppscatterplot3d

Readme and manuals

Help Manual

Help pageTopics
Mokken Scale Analysismokken-package mokken
Adjective Checklist Dataacl
Automated Item Selection Procedure (AISP) for Mokken Scale Analysisaisp search search.extended search.ga search.normal
Autonomy Support DataautonomySupport
Balance Databalance
Coping Strategiescavalini
Check the relative lower bound for scalability coefficientscheck.bounds
Check conditional association to indentify local dependence.check.ca
Check the number of Guttman errors (Gplus) and the number of infrequent scores (Oplus) for each respondentcheck.errors
Check of Invariant Item Orderingcheck.iio
Check of Monotonicitycheck.monotonicity
Standard errors for norm statisticscheck.norms
Check of Nonintersection Using Method Pmatrixcheck.pmatrix
Computation of reliability statisticscheck.reliability
Check of Nonintersection Using Method Restscorecheck.restscore
Scalability coefficents HcoefH
Computation of Z-ValuescoefZ
DS14DS14
Intraclass correlationICC
Millon Clinical Multiaxial Inventorymcmi
Two-level scalability coefficents HMLcoefH
Computation of Z-Values for two-level scalability coefficientsMLcoefZ
Weights for Guttman Errors in two-level test dataMLweight
Plot iio.class objectsplot.iio.class
Plot monotonicity.class objectsplot.monotonicity.class
Plot pmatrix.class objectsplot.pmatrix.class
Plot restscore.class objectsplot.restscore.class
Recodes negatively worded itemsrecode
Summarize iio.class objectssummary.iio.class
Summarize monotonicity.class objectssummary.monotonicity.class
Summarize pmatrix.class objectssummary.pmatrix.class
Summarize restscore.class objectssummary.restscore.class
SWMD Data SubsetSWMD
SWMDK Data SubsetSWMDK
Transitive Reasoningtransreas
Transitive Reasoning Datatransreas2
trog Datatrog
Two-way imputationtwoway