Package: gtheory 0.1.2

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]

gtheory_0.1.2.tar.gz
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gtheory.pdf |gtheory.html
gtheory/json (API)

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

Peer review:

Datasets:

On CRAN:

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

1.30 score 9 scripts 573 downloads 2 mentions 2 exports 10 dependencies

Last updated 8 years agofrom:505281bcd3. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winNOTENov 13 2024
R-4.5-linuxNOTENov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:dstudygstudy

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppEigen

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