R Observatory: Metrics for MSIMST version 1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MSIMST

1.1Package record

Bayesian Monotonic Single-Index Regression Model with the Skew-T Likelihood

0packages depend

2Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Qingyang LiuCRAN page ↗GitHub ↗

Incorporates a Bayesian monotonic single-index mixed-effect model with a multivariate skew-t likelihood, specifically designed to handle survey weights adjustments. Features include a simulation program and an associated Gibbs sampler for model estimation. The single-index function is constrained to be monotonic increasing, utilizing a customized Gaussian process prior for precise estimation. The model assumes random effects follow a canonical skew-t distribution, while residuals are represented by a multivariate Student-t distribution. Offers robust Bayesian adjustments to integrate survey weight information effectively.

Changes in 1.1

Edit the description.
Add a variable in WFPBB() that controls whether print message/information to the console.

From NEWS.md in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("rh8liuqy/MSIMST")

Development version from rh8liuqy/MSIMST. Installs pak first if it is not already available.

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-msimst

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-MSIMST

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-MSIMST

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: 3.6 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1

READMEYes · 111 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 1.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 7includes a package overview page
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: 14% with a bibliography file

Vignettes (1)

Robust Statistical Modeling for Quantifying Periodontal Disease: A Single Index Mixed-Effects Approach with Skewed Random Effects and Heavy-Tailed Residuals PDF

How these are measured

Downloads

2K

CRAN downloads in the past year

Rank #22,888 · ~6/day · ~169/mo

Releases R versions

Daily download trend is not available in this view yet.

20230 days

57290 days

2K1 year

Compare downloads with other packages →

Also on349 r2u3 autocran

How downloads are counted

Repository

rh8liuqy/msimst ↗Account: rh8liuqy

2Stars

1Forks

0Open issues

0Open PRs

0Releases

5Commits

1Commit identities

License file reads as GPL-3.0 · 5 commits · Last activity 2024-09-16

Responsiveness

not measured

How these are measured

PracticesBeta

Checks run against github.com/rh8liuqy/msimst on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing MSIMST adds 12 packages (9 with compiled code, 16 MB of source tarballs). Heaviest: fields 3.9 MB, spam 3.1 MB, maps 2.2 MB.

Depends (1)

R >= 3.4.0

Imports (7)

MASSRcpp mvtnorm fieldsparalleltruncnorm Rdpack

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (4)

latticeHDInterval latex2exp (>= 0.9.6)posterior

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Qingyang Liu

Author, Maintainer since 1.1 (2024)

Dipankar Bandyopadhyay

Author

Debdeep Pati

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.1Latest
record
2024-09-16 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-09-16
Total releases: 1 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.4.0
Download size: 704 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MSIMST")

Format

Liu, Q., Bandyopadhyay, D., & Pati, D. (2024). MSIMST: Bayesian Monotonic Single-Index Regression Model with the Skew-T Likelihood (Version 1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.MSIMST

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 MSIMST version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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