Inference for Hidden Markov and Semi-Markov Models
Overview
Parameter estimation and prediction for hidden Markov and semi-Markov models for data with multiple observation sequences. Suitable for equidistant time series data, with multivariate and/or missing data. Allows user defined emission distributions.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Jared O'Connell <jaredoconnell@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Jared",
family = "O'Connell",
role = c("aut", "cre"),
email = "jaredoconnell@gmail.com"),
person(given = "Søren",
family = "Højsgaard",
role = "aut",
email = "sorenh@math.aau.dk"))
as necessary.NOTEcompiled coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
File ‘mhsmm/libs/mhsmm.so’: Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’ It is good practice to register native routines and to disable symbol search. See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
- NOTE9 OK, 4 NOTENow
- NOTE10 OK, 4 NOTE2026-03-10
Documentation
- Help pages
- 33
- Examples that run
- 85%17 run in a plain check · 3 hold no code
- Exported functions with examples
- 63%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 45%
Downloads
Dependencies
Installing mhsmm adds 1 package (1 with compiled code, 1.0 MB of source tarballs). Heaviest: mvtnorm 1.0 MB.
Code & Tests
Datasets
People & History
Maintainer since 0.2.1 (2009), previously Soren Hojsgaard (0.1.0)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.4.21Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 0.4.162017-01-15 · diff ↗
- 0.4.142016-12-05 · diff ↗
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
Show 26 earlier eventsHide 26 earlier events
- 0.4.122014-01-09 · diff ↗
- 0.4.112013-06-24 · diff ↗
- 0.4.102013-06-13 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 0.4.82013-01-26 · diff ↗
- 0.4.6
- RR 2.15.0 released · 2012-03-30
- RR 2.14.0 released · 2011-10-31
- 0.4.42011-06-17 · diff ↗
- RR 2.13.0 released · 2011-04-13
- 0.4.22011-04-07 · diff ↗
- 0.4.02011-03-06 · diff ↗
- 0.3.82010-11-29 · diff ↗
- RR 2.12.0 released · 2010-10-15
- 0.3.62010-07-25 · diff ↗
- 0.3.52010-05-19 · diff ↗
- RR 2.11.0 released · 2010-04-22
- 0.3.22010-02-19 · diff ↗
- RR 2.10.0 released · 2009-10-26
- 0.3.12009-09-24 · diff ↗
- 0.3.02009-08-31 · diff ↗
- RR 2.9.0 released · 2009-04-17
- 0.2.32009-04-14 · diff ↗
- 0.2.12009-04-04 · diff ↗
- 0.1.02009-03-02
- RR 2.8.0 released · 2008-10-20
Package metadata
- First published
- 2009-03-02
- Total releases
- 20 / 17 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 123 KB / 3 files
- Download size
- 391 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("mhsmm")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v039.i04.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.