Fit zero-inflated Poisson hidden (semi-)Markov models with or without covariates by directly minimizing the negative log likelihood function using the gradient descent algorithm. Multiple starting values should be used to avoid local minima.
| Version: | 2.0.1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2018-01-05 |
| Author: | Zekun (Jack) Xu, Ye Liu, Ana-Maria Staicu, Eric Laber |
| Maintainer: | Zekun (Jack) Xu <zekunxu at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| CRAN checks: | ziphsmm results |
| Reference manual: | ziphsmm.pdf |
| Package source: | ziphsmm_2.0.1.tar.gz |
| Windows binaries: | r-devel: ziphsmm_2.0.1.zip, r-release: ziphsmm_2.0.1.zip, r-oldrel: ziphsmm_2.0.1.zip |
| OS X El Capitan binaries: | r-release: ziphsmm_2.0.1.tgz |
| OS X Mavericks binaries: | r-oldrel: ziphsmm_2.0.1.tgz |
| Old sources: | ziphsmm archive |
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