Fits non-homogeneous Markov multistate models and misclassification-type hidden Markov models in continuous time to intermittently observed data. Implements the methods in Titman (2011) <doi:10.1111/j.1541-0420.2010.01550.x>. Uses direct numerical solution of the Kolmogorov forward equations to calculate the transition probabilities.
| Version: | 0.1.0 |
| Imports: | stats, deSolve, maxLik, mvtnorm |
| Suggests: | msm, parallel, splines |
| Published: | 2019-10-11 |
| Author: | Andrew Titman [aut, cre] |
| Maintainer: | Andrew Titman <a.titman at lancaster.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | nhm results |
| Reference manual: | nhm.pdf |
| Vignettes: |
User guide to nhm |
| Package source: | nhm_0.1.0.tar.gz |
| Windows binaries: | r-devel: nhm_0.1.0.zip, r-release: nhm_0.1.0.zip, r-oldrel: nhm_0.1.0.zip |
| macOS binaries: | r-release: nhm_0.1.0.tgz, r-oldrel: nhm_0.1.0.tgz |
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