Package: gtheory 0.1.2

Christopher T. Moore

gtheory: Apply Generalizability Theory with R

Estimates variance components, generalizability coefficients, universe scores, and standard errors when observed scores contain variation from one or more measurement facets (e.g., items and raters).

Authors:Christopher T. Moore [aut, cre]

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gtheory.pdf |gtheory.html
gtheory/json (API)

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

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

Datasets:

On CRAN:

Conda:

archivedpackagesr-universe

2.00 score 5 stars 382 downloads 2 mentions 2 exports 13 dependencies

Last updated 7 days agofrom:dae5212f8d (on package/gtheory). Checks:6 OK, 3 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winNOTEMar 24 2025
R-4.5-macNOTEMar 24 2025
R-4.5-linuxNOTEMar 24 2025
R-4.4-winOKMar 24 2025
R-4.4-macOKMar 24 2025
R-4.4-linuxOKMar 24 2025
R-4.3-winOKMar 24 2025
R-4.3-macOKMar 24 2025

Exports:dstudygstudy

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulas

Readme and manuals

Help Manual

Help pageTopics
Apply generalizability theory with R.gtheory-package gtheory
Brennan's (2001) Table 3.2Brennan.3.2
Conduct a Univariate or Multivariate Decision (D) Studydstudy dstudy.components dstudy.dstudy dstudy.gstudy
Conduct a Univariate or Multivariate Generalizability (G) Studygstudy gstudy.data.frame gstudy.multivariate gstudy.univariate
Rajaratnam, Cronbach and Gleser's (1965) Table 2Rajaratnam.2