Package: mixRaschTools 1.1.1

mixRaschTools: Plotting and Average Theta Functions for Multiple Class Mixed Rasch Models

Provides supplemental functions for the 'mixRasch' package (Willse, 2014), <https://cran.r-project.org/package=mixRasch/mixRasch.pdf> including a plotting function to compare item parameters for multiple class models and a function that provides average theta values for each class in a mixture model.

Authors:Pamela Trantham [aut, cre]

mixRaschTools_1.1.1.tar.gz
mixRaschTools_1.1.1.zip(r-4.7-any)mixRaschTools_1.1.1.zip(r-4.6-any)mixRaschTools_1.1.1.zip(r-4.5-any)
mixRaschTools_1.1.1.tgz(r-4.6-any)mixRaschTools_1.1.1.tgz(r-4.5-any)
mixRaschTools_1.1.1.tar.gz(r-4.7-any)mixRaschTools_1.1.1.tar.gz(r-4.6-any)
mixRaschTools_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mixRaschTools/json (API)

# Install 'mixRaschTools' in R:
install.packages('mixRaschTools', repos = c('https://pamelapsc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • fourclass_ex - MixRaschTools Sample Four Class Model --------------------
  • threeclass_ex - MixRaschTools Sample Three Class Model --------------------

On CRAN:

Conda:

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

1.00 score 2 scripts 252 downloads 2 exports 0 dependencies

Last updated from:0ba3bc413d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK99
source / vignettesOK177
linux-releaseOK119
macos-releaseOK161
macos-oldrelOK174
windows-develOK59
windows-releaseOK63
windows-oldrelOK89
wasm-releaseOK81

Exports:avg.thetamixRasch.plot

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Average Ability Levels for Multiple Class Mixed Rasch ModelAverage Ability Levels for Multiple Class Mixed Rasch Model avg.theta
mixRaschTools Sample Four Class Model --------------------fourclass_ex
Item parameter plot for mixed Rasch modelItem parameter plot for mixed Rasch model mixRasch.plot
mixRaschTools Sample Three Class Model --------------------threeclass_ex