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-any)multilevelmod_1.0.0.9000.zip(r-4.6-any)multilevelmod_1.0.0.9000.zip(r-4.5-any)
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:

8.43 score 74 stars 401 scripts 455 downloads 1 exports 48 dependencies

Last updated from:0db2149b4e. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	223
source / vignettes	OK	259
linux-release	OK	166
macos-release	OK	139
macos-oldrel	OK	134
windows-devel	OK	118
windows-release	OK	99
windows-oldrel	OK	98
wasm-release	OK	159