Package: rccme 0.0.1.9002

James Uanhoro

rccme: Regression Calibration for Classical Measurement Error

Contains functions to get calibrated latent trait estimates under assumption of classical measurement error.

Authors:James Uanhoro [aut, cre], Nivedita Bhaktha [ctb]

rccme_0.0.1.9002.tar.gz
rccme_0.0.1.9002.zip(r-4.7)rccme_0.0.1.9002.zip(r-4.6)rccme_0.0.1.9002.zip(r-4.5)
rccme_0.0.1.9002.tgz(r-4.6-any)rccme_0.0.1.9002.tgz(r-4.5-any)
rccme_0.0.1.9002.tar.gz(r-4.6-any)rccme_0.0.1.9002.tar.gz(r-4.5-any)
rccme_0.0.1.9002.tgz(r-4.5-emscripten)
rccme.pdf |rccme.html
rccme/json (API)
NEWS

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

Bug tracker:https://github.com/jamesuanhoro/rccme/issues

Pkgdown/docs site:https://jamesuanhoro.github.io

Datasets:

On CRAN:

Conda:

measurement-errorregression-calibrationquarto

3.30 score 5 scripts 1 exports 0 dependencies

Last updated from:c0670a373e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK123
source / vignettesOK173
linux-release-x86_64OK118
macos-release-arm64OK195
macos-oldrel-arm64OK221
windows-develOK114
windows-releaseOK104
windows-oldrelOK88
wasm-releaseOK96

Exports:rccme_calib_me

Dependencies:

estress

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global_warming

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