Overview | Installation | A minimal example | Inspecting the fit: print() | Per-score view: summary() | Visualising: plot() | The fitted object | Next steps | References
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:
csemGT_1.0.0.tar.gz
csemGT_1.0.0.zip(r-4.7-any)csemGT_1.0.0.zip(r-4.6-any)csemGT_1.0.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
csemGT/json (API)
| # 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:
Last updated from:e8b834396f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 158 | ||
| source / vignettes | OK | 167 | ||
| linux-release | OK | 132 | ||
| macos-release | OK | 207 | ||
| macos-oldrel | OK | 182 | ||
| windows-devel | OK | 86 | ||
| windows-release | OK | 92 | ||
| windows-oldrel | OK | 87 | ||
| wasm-release | OK | 95 |
Exports:by_scorecsem_gtcsem_paletteis.csem
Dependencies:
Introduction to csemGT
Last update: 2026-05-27
Started: 2026-05-19
Worked examples
Overview | Example 1: A binary educational test, verifying Lord (1955) | Adding bootstrap standard errors | Example 2: A dichotomous educational test, comparing estimators (SAT12) | Example 3: A Likert personality scale, smoother and D-study | D-study: projecting to a different test length | References
Last update: 2026-05-27
Started: 2026-05-26
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Coerce a `csem` object to a data frame | as.data.frame.csem |
| Extract the score-level table from a `csem` object | by_score by_score.csem |
| Extract the variance components of a `csem` object | coef.csem |
| Conditional standard errors of measurement under Generalizability Theory | csem_gt |
| The csemGT colour palette | csem_palette |
| Simulated ITED-like dichotomous responses (Brennan, 1998) | iowa_like |
| Simulated IPIP-10-like Likert responses | ipip_like |
| Test whether an object is a `csem` object | is.csem |
| Plot a `csem` object | plot.csem |
| Print a `csem` object | print.csem |
| Summarise a `csem` object | summary.csem |