Package: glme 0.1.0

glme: Generalized Linear Mixed Effects Models

Provides Generalized Inferences based on exact distributions and exact probability statements for mixed effect models, provided by such papers as Weerahandi and Yu (2020) <doi:10.1186/s40488-020-00105-w> under the widely used Compound Symmetric Covariance structure. The package returns the estimation of the coefficients in random and fixed part of the mixed models by generalized inference.

Authors:Sam Weerahandi [aut], Berna Yazici [aut], Ching-Ray Yu [aut], Mustafa Cavus [aut, cre]

glme_0.1.0.tar.gz
glme_0.1.0.zip(r-4.7-any)glme_0.1.0.zip(r-4.6-any)glme_0.1.0.zip(r-4.5-any)
glme_0.1.0.tgz(r-4.6-any)glme_0.1.0.tgz(r-4.5-any)
glme_0.1.0.tar.gz(r-4.7-any)glme_0.1.0.tar.gz(r-4.6-any)
glme_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
glme/json (API)

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

On CRAN:

Conda:

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

2.12 score 1 packages 11 scripts 335 downloads 4 mentions 1 exports 20 dependencies

Last updated from:54456b171c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK135
source / vignettesOK157
linux-releaseOK139
macos-releaseOK151
macos-oldrelOK162
windows-develOK68
windows-releaseOK76
windows-oldrelOK66
wasm-releaseOK96

Exports:glme

Dependencies:clidplyrgenericsgluelatticelifecyclemagrittrnlmepillarpkgconfigplyrR6Rcppreshaperlangtibbletidyselectutf8vctrswithr