Package: hmmm 1.0-5

Roberto Colombi
hmmm: Hierarchical Multinomial Marginal Models
Functions for specifying and fitting marginal models for contingency tables proposed by Bergsma and Rudas (2002) <doi:10.1214/aos/1015362188> here called hierarchical multinomial marginal models (hmmm) and their extensions presented by Bartolucci, Colombi and Forcina (2007) <https://www.jstor.org/stable/24307737>; multinomial Poisson homogeneous (mph) models and homogeneous linear predictor (hlp) models for contingency tables proposed by Lang (2004) <doi:10.1214/aos/1079120140> and Lang (2005) <doi:10.1198/016214504000001042>. Inequality constraints on the parameters are allowed and can be tested.
Authors:
hmmm_1.0-5.tar.gz
hmmm_1.0-5.tar.gz(r-4.5-noble)hmmm_1.0-5.tar.gz(r-4.4-noble)
hmmm_1.0-5.tgz(r-4.4-emscripten)hmmm_1.0-5.tgz(r-4.3-emscripten)
hmmm.pdf |hmmm.html✨
hmmm/json (API)
NEWS
# Install 'hmmm' in R: |
install.packages('hmmm', repos = 'https://cloud.r-project.org') |
- accident - Factory accident data
- depression - Longitudinal study of mental depression
- drinks - Soft-drinks data
- kentucky - Kentucky traffic accident data
- madsen - Madsen data
- polbirth - Political orientation and teenage birth control data
- relpol - Religion and political orientation data
- relpolbirth - Religion, political orientation and teenage birth control data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:d8c6e9e851. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 10 2025 |
R-4.5-linux | OK | Mar 10 2025 |
R-4.4-linux | OK | Mar 10 2025 |
Exports:akaikecreate.XMATgetnamesGMIhmmm.chibarhmmm.mlfithmmm.modelhmmm.model.Xinv_GMIloglin.modelmarg.listmphineq.fitrecursive
Citation
To cite package 'hmmm' in publications use:
Colombi R, Giordano S, Cazzaro M (2014). “hmmm: An R Package for Hierarchical Multinomial Marginal Models.” Journal of Statistical Software, 59(11), 1–25. https://www.jstatsoft.org/article/view/v059i11.
Corresponding BibTeX entry:
@Article{, title = {{hmmm}: An {R} Package for Hierarchical Multinomial Marginal Models}, author = {Roberto Colombi and Sabrina Giordano and Manuela Cazzaro}, journal = {Journal of Statistical Software}, year = {2014}, volume = {59}, number = {11}, pages = {1--25}, url = {https://www.jstatsoft.org/article/view/v059i11}, }