Package: InDisc 1.1.0

David Navarro-Gonzalez

InDisc: Obtaining and Estimating Unidimensional and Multidimensional IRT Dual Models

Performs a unified approach for obtaining and estimating unidimensional and multidimensional Item Response Theory (IRT) Dual Models (DMs), proposed by Ferrando (2019 <doi:10.1177/0146621618817779>).

Authors:David Navarro-Gonzalez [cre, aut], Pere Joan Ferrando [aut]

InDisc_1.1.0.tar.gz
InDisc_1.1.0.tar.gz(r-4.5-noble)InDisc_1.1.0.tar.gz(r-4.4-noble)
InDisc_1.1.0.tgz(r-4.4-emscripten)InDisc_1.1.0.tgz(r-4.3-emscripten)
InDisc.pdf |InDisc.html✨
InDisc/json (API)

# Install 'InDisc' in R:
install.packages('InDisc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

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

1.00 score 175 downloads 45 exports 6 dependencies

Last updated 3 years agofrom:bf16777a29. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-linuxNOTEOct 26 2024

Exports:betagradmchiscreanchicreanodoseap17ceap17geap17gtheapmulc2eapmulc3eapmulc4eapmulg2eapmulg3eapmulg4eapmulthc2eapmulthc3eapmulthc4eapth17cgenerbetaInDisclrtestlrtestmlrtsegpcongpcongmulpriorgralpriormulreap17creap17greapmulcreapmulgreapmulthcreapth17creapth17grlrtesgrlrtestrlrtestmrthressizethres3thres4thres5thresdicthresholdstransposeverosi2

Dependencies:GPArotationlatticematrixStatsmnormtnlmepsych