R Observatory: Metrics for SMM version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SMM

1.0.3Package record

Simulation and Estimation of Multi-State Discrete-Time Semi-Markov and Markov Models

0packages depend

3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Nicolas VergneCRAN page ↗

Performs parametric and non-parametric estimation and simulation for multi-state discrete-time semi-Markov processes. For the parametric estimation, several discrete distributions are considered for the sojourn times: Uniform, Geometric, Poisson, Discrete Weibull and Negative Binomial. The non-parametric estimation concerns the sojourn time distributions, where no assumptions are done on the shape of distributions. Moreover, the estimation can be done on the basis of one or several sample paths, with or without censoring at the beginning or/and at the end of the sample paths. The implemented methods are described in Barbu, V.S., Limnios, N. (2008) doi:10.1007/978-0-387-73173-5, Barbu, V.S., Limnios, N. (2008) doi:10.1080/10485250701261913 and Trevezas, S., Limnios, N. (2011) doi:10.1080/10485252.2011.555543. Estimation and simulation of discrete-time k-th order Markov chains are also considered.

Changes in 1.0.3

NEW FEATURES

Bug fixes
Fix CRAN notes

From NEWS in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("SMM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-smm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-SMM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-SMM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-17
NOTE5 OK, 8 NOTE2026-09-07
WARNING12 NOTE, 2 WARNING2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.3

READMENoVignettesYes · 1 · staticNEWSYes · 0% structured · mentions 1.0.3Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 13includes a package overview page
Examples that run: 100%13 run in a plain check
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 31%

Vignettes (1)

SMM Vignette PDF

How these are measured

Downloads

3K

CRAN downloads in the past year

Rank #8,169 · ~8/day · ~251/mo

Releases R versions

Daily download trend is not available in this view yet.

32430 days

1.1K90 days

3K1 year

Compare downloads with other packages →

Also on82 r2u5 autocran

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing SMM adds 17 packages (9 with compiled code, 15 MB of source tarballs). Heaviest: sp 4.3 MB, seqinr 3.4 MB, ade4 3.2 MB.

Depends (2)

seqinr DiscreteWeibull

Imports (0)

none

LinkingTo (0)

none

Suggests (1)

utils

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (5)

Nicolas Vergne

Author, Maintainer since 1.0 (2017)

Author

Author

Author

Author

Releases (4)

Pick two releases to compare their code metrics.

1.0.3Latest
record
2026-09-06 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
unarchivedReturned to CRAN
2020-01-31
1.0.2
record
2020-01-31 · diff ↗
archivedRemoved from CRAN
2020-01-29
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
1.0.1
record
2017-09-08 · diff ↗
1.0
record
2017-07-22
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-22
Total releases: 4 / 9 yrs
License: GPL
Download size: 342 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SMM")

Format

Vergne, N., Barbu, V. S., Berard, C., Cellier, D., & Sautreuil, M. (2026). SMM: Simulation and Estimation of Multi-State Discrete-Time Semi-Markov and Markov Models (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.SMM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 SMM version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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