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-4.5)multilevelmod_1.0.0.9000.zip(r-4.4)multilevelmod_1.0.0.9000.zip(r-4.3)
multilevelmod_1.0.0.9000.tgz(r-4.4-any)multilevelmod_1.0.0.9000.tgz(r-4.3-any)
multilevelmod_1.0.0.9000.tar.gz(r-4.5-noble)multilevelmod_1.0.0.9000.tar.gz(r-4.4-noble)
multilevelmod_1.0.0.9000.tgz(r-4.4-emscripten)multilevelmod_1.0.0.9000.tgz(r-4.3-emscripten)
multilevelmod.pdf |multilevelmod.html✨
multilevelmod/json (API)
NEWS

# 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

Datasets:

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

On CRAN:

8.09 score 74 stars 223 scripts 369 downloads 1 exports 48 dependencies

Last updated 1 months agofrom:d8f7bc21b1. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 16 2024
R-4.5-win	OK	Nov 16 2024
R-4.5-linux	OK	Nov 16 2024
R-4.4-win	OK	Nov 16 2024
R-4.4-mac	OK	Nov 16 2024
R-4.3-win	OK	Nov 16 2024
R-4.3-mac	OK	Nov 16 2024