Package: csemGT 1.0.0

csemGT: Conditional Standard Error of Measurement in Generalizability Theory

Estimates the per-person conditional standard error of measurement (CSEM) under the persons-by-items single-facet crossed design of Generalizability Theory, following Brennan (1998) <doi:10.1177/014662169802200401>. Implements three estimators of the relative error variance (full, large_a, uncorrelated) and the closed-form absolute error variance, with both analytical and item-resampling bootstrap sampling variances, quadratic smoothing of CSEMs on observed score, D-study extrapolation, and base-graphics plotting.

Authors:René Gempp [aut, cre, cph]

csemGT_1.0.0.tar.gz
csemGT_1.0.0.zip(r-4.7)csemGT_1.0.0.zip(r-4.6)csemGT_1.0.0.zip(r-4.5)
csemGT_1.0.0.tgz(r-4.6-any)csemGT_1.0.0.tgz(r-4.5-any)
csemGT_1.0.0.tar.gz(r-4.7-any)csemGT_1.0.0.tar.gz(r-4.6-any)
csemGT_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
csemGT/json (API)
NEWS

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

Bug tracker:https://github.com/rgempp/csemgt/issues

Pkgdown/docs site:https://gempp.cl

Datasets:
  • iowa_like - Simulated ITED-like dichotomous responses
  • ipip_like - Simulated IPIP-10-like Likert responses

On CRAN:

Conda:

4.48 score 4 exports 0 dependencies

Last updated from:e8b834396f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK144
source / vignettesOK190
linux-release-x86_64OK147
macos-release-arm64OK136
macos-oldrel-arm64OK188
windows-develOK102
windows-releaseOK107
windows-oldrelOK97
wasm-releaseOK115

Exports:by_scorecsem_gtcsem_paletteis.csem

Dependencies:

Introduction to csemGT

Rendered fromintro-csem-gt.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-05-27
Started: 2026-05-19

Worked examples

Rendered fromexamples.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-05-27
Started: 2026-05-26