Conditional Standard Error of Measurement in Generalizability Theory R package csemGT version 1.0.0 CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) 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. Software Depends: R (>= 4.1.0) Imports: stats, utils, graphics, grDevices Suggests: boot, mgcv, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr, covr, spelling, mirt, haven René Gempp <rene.gempp@udp.cl> Comprehensive R Archive Network (CRAN) René Gempp [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-0427-6894>) GPL (>= 3) 2026-06-01 application/tgz https://CRAN.R-project.org/package=csemGT doi:10.32614/CRAN.package.csemGT en-GB