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 = c('https://cran.r-universe.dev', '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 7 months agofrom:d8c6e9e851. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-linux | OK | Nov 10 2024 |
Exports:akaikecreate.XMATgetnamesGMIhmmm.chibarhmmm.mlfithmmm.modelhmmm.model.Xinv_GMIloglin.modelmarg.listmphineq.fitrecursive