Functions for specifying and fitting marginal models for contingency tables proposed by Bergsma and Rudas (2002) here called hierarchical multinomial marginal models (hmmm) and their extensions presented by Bartolucci et al. (2007); multinomial Poisson homogeneous (mph) models and homogeneous linear predictor (hlp) models for contingency tables proposed by Lang (2004) and (2005); hidden Markov models where the distribution of the observed variables is described by a marginal model. Inequality constraints on the parameters are allowed and can be tested.
| Version: | 1.0-1 |
| Depends: | quadprog, MASS |
| Published: | 2013-02-15 |
| Author: | Roberto Colombi [aut, cre], Sabrina Giordano [aut], Manuela Cazzaro [aut], Joseph B. Lang [ctb] |
| Maintainer: | Colombi Roberto <colombi at unibg.it> |
| License: | GPL (≥ 2) |
| NeedsCompilation: | no |
| Citation: | hmmm citation info |
| CRAN checks: | hmmm results |
| Package source: | hmmm_1.0-1.tar.gz |
| MacOS X binary: | hmmm_1.0-1.tgz |
| Windows binary: | hmmm_1.0-1.zip |
| Reference manual: | hmmm.pdf |
| Vignettes: |
hmmm |
| News/ChangeLog: | NEWS |
| Old sources: | hmmm archive |