The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Easy to use library to setup, apply and make inference with discrete time and discrete space Hidden Markov Models.
| Version: | 1.0.1 |
| Depends: | R (≥ 2.0.0) |
| Published: | 2022-03-23 |
| Author: | Scientific Software - Dr. Lin Himmelmann |
| Maintainer: | Lin Himmelmann <hmm at linhi.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | www.linhi.de |
| NeedsCompilation: | no |
| CRAN checks: | HMM results |
| Reference manual: | HMM.pdf |
| Package source: | HMM_1.0.1.tar.gz |
| Windows binaries: | r-devel: HMM_1.0.1.zip, r-release: HMM_1.0.1.zip, r-oldrel: HMM_1.0.1.zip |
| macOS binaries: | r-release (arm64): HMM_1.0.1.tgz, r-oldrel (arm64): HMM_1.0.1.tgz, r-release (x86_64): HMM_1.0.1.tgz, r-oldrel (x86_64): HMM_1.0.1.tgz |
| Old sources: | HMM archive |
| Reverse imports: | Hapi, uHMM, UPDhmm |
Please use the canonical form https://CRAN.R-project.org/package=HMM to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.