R Observatory: Metrics for BMRMM version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BMRMM

1.0.1Package record

An Implementation of the Bayesian Markov (Renewal) Mixed Models

0packages depend

7.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Yutong WuCRAN page ↗

The Bayesian Markov renewal mixed models take sequentially observed categorical data with continuous duration times, being either state duration or inter-state duration. These models comprehensively analyze the stochastic dynamics of both state transitions and duration times under the influence of multiple exogenous factors and random individual effect. The default setting flexibly models the transition probabilities using Dirichlet mixtures and the duration times using gamma mixtures. It also provides the flexibility of modeling the categorical sequences using Bayesian Markov mixed models alone, either ignoring the duration times altogether or dividing duration time into multiples of an additional category in the sequence by a user-specific unit. The package allows extensive inference of the state transition probabilities and the duration times as well as relevant plots and graphs. It also includes a synthetic data set to demonstrate the desired format of input data set and the utility of various functions. Methods for Bayesian Markov renewal mixed models are as described in: Abhra Sarkar et al., (2018) doi:10.1080/01621459.2018.1423986 and Yutong Wu et al., (2022) doi:10.1093/biostatistics/kxac050.

Install

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

install.packages("BMRMM", 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-bmrmm

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-BMRMM

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-BMRMM

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: 2.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8
Examples that run: 100%6 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 25%

How these are measured

Downloads

7.6K

CRAN downloads in the past year

Rank #6,775 · ~21/day · ~634/mo

Releases R versions

Daily download trend is not available in this view yet.

44530 days

1.3K90 days

7.6K1 year

Compare downloads with other packages →

Also on79 r2u20 autocran

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing BMRMM adds 17 packages (11 with compiled code, 16 MB of source tarballs). Heaviest: fields 3.9 MB, spam 3.1 MB, maps 2.2 MB.

Depends (1)

R >= 2.10

Imports (5)

fields logOfGamma MCMCpack multicool pracma

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Yutong Wu

Author, Maintainer since 0.0.1 (2021)

Abhra Sarkar

Author · added in 0.0.2

Releases (5)

Pick two releases to compare their code metrics.

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
1.0.1Latest
record
2024-04-22 · current release · diff ↗
1.0.0
record
2023-06-19 · diff ↗ ·
removed 10 exports
get_duration_diagnostic_plots, get_estimated_post_mean_and_sd, get_global_test_results, get_histogram_by_component, get_histogram_with_post_mean, get_lpml_waic_scores, get_mixture_params, get_mixture_probs_by_cov, get_tp_diagnostic_plots, get_tp_local_test_results

added 2 exports
diag.BMRMM, model.selection.scores
R
R 4.3.0 released · 2023-04-21
0.0.3
record
2023-01-21 · diff ↗
0.0.2
record
2023-01-06 · diff ↗ ·
removed 2 exports
get_heatmap_by_cov, get_heatmap_mix_param

added 2 exports
get_mixture_params, get_mixture_probs_by_cov
R
R 4.2.0 released · 2022-04-22
0.0.1
record
2021-11-15
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-11-15
Total releases: 5 / 5 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 100 KB / 2 files
Download size: 127 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BMRMM")

Format

Wu, Y., & Sarkar, A. (2024). BMRMM: An Implementation of the Bayesian Markov (Renewal) Mixed Models (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.BMRMM

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 BMRMM version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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