R Observatory: Metrics for rarhsmm version 1.0.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2019-11-25. Its history is shown below.

Reason: check problems were not corrected in time

Details below reflect version 1.0.7, its last release before removal.

rarhsmm

1.0.7

Regularized Autoregressive Hidden Semi Markov Model

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Zekun Xu6 releasesCRAN page ↗

Fit Gaussian hidden Markov (or semi-Markov) models with / without autoregressive coefficients and with / without regularization. The fitting algorithm for the hidden Markov model is illustrated by Rabiner (1989) doi:10.1109/5.18626. The shrinkage estimation on the covariance matrices is based on the method by Ledoit et al. (2004) doi:10.1016/S0047-259X(03)00096-4. The shrinkage estimation on the autoregressive coefficients uses the elastic net shrinkage detailed in Zou et al. (2005) doi:10.1111/j.1467-9868.2005.00503.x.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/rarhsmm/rarhsmm_1.0.7.tar.gz"
pkgFile <- "rarhsmm_1.0.7.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0.7) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

2

Dependencies · direct

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 90%
Documented parameters: 100%
Return-value docs: 100%
References docs: 67%

Downloads

rarhsmm Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.0.0

Imports (2)

Rcpp glmnet

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Other (2)

Zekun (Jack) Xu

Contributor

Ye Liu

Contributor

Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2019-11-25
check problems were not corrected in time
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.0.7
2018-03-20 · diff ↗
1.0.5
2017-10-18 · diff ↗
1.0.4
2017-05-07 · diff ↗
1.0.3
2017-05-01 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.0.2
2017-04-19 · diff ↗
1.0.1
2017-04-12
R
R 3.3.0 released · 2016-05-03

Package metadata

Total releases: 6
License: GPL
Minimum R: ≥ 3.0.0
Bundled data: 60 KB / 1 file
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rarhsmm")

Format

Xu, Z. (., & Liu, Y. (n.d.). rarhsmm: Regularized Autoregressive Hidden Semi Markov Model (Version 1.0.7) [Computer software]. Retrieved August 15, 2026, from https://CRAN.R-project.org/package=rarhsmm

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rarhsmm version 1.0.7 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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