Package: multilevelmod 1.0.0.9000

Hannah Frick

multilevelmod: Model Wrappers for Multi-Level Models

Bindings for hierarchical regression models for use with the 'parsnip' package. Models include longitudinal generalized linear models (Liang and Zeger, 1986) <doi:10.1093/biomet/73.1.13>, and mixed-effect models (Pinheiro and Bates) <doi:10.1007/978-1-4419-0318-1_1>.

Authors:Max Kuhn [aut], Hannah Frick [aut, cre], Posit Software, PBC [cph, fnd]

multilevelmod_1.0.0.9000.tar.gz
multilevelmod_1.0.0.9000.zip(r-4.7)multilevelmod_1.0.0.9000.zip(r-4.6)multilevelmod_1.0.0.9000.zip(r-4.5)
multilevelmod_1.0.0.9000.tgz(r-4.6-any)multilevelmod_1.0.0.9000.tgz(r-4.5-any)
multilevelmod_1.0.0.9000.tar.gz(r-4.7-any)multilevelmod_1.0.0.9000.tar.gz(r-4.6-any)
multilevelmod_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
multilevelmod/json (API)

# Install 'multilevelmod' in R:

install.packages('multilevelmod', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tidymodels/multilevelmod/issues

Pkgdown/docs site:https://multilevelmod.tidymodels.org

Datasets:

longitudinal_counts - Simulated longitudinal Poisson counts
msa_data - Measurement systems analysis data
riesby - Imipramine longitudinal data

On CRAN:

8.39 score 74 stars 368 scripts 419 downloads 1 exports 48 dependencies

Last updated from:41ecd54979. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	176
source / vignettes	OK	242
linux-release-x86_64	OK	188
macos-release-arm64	OK	136
macos-oldrel-arm64	OK	126
windows-devel	OK	149
windows-release	OK	110
windows-oldrel	OK	118
wasm-release	OK	135