R Observatory: Metrics for monomvn version 1.9-21

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

monomvn

1.9-21Package record

Estimation for MVN and Student-t Data with Monotone Missingness

0packages dependsuggested by 2

8.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Robert B. GramacyCRAN page ↗Website ↗

Estimation of multivariate normal (MVN) and student-t data of arbitrary dimension where the pattern of missing data is monotone. See Pantaleo and Gramacy (2010) doi:10.48550/arXiv.0907.2135. Through the use of parsimonious/shrinkage regressions (plsr, pcr, lasso, ridge, etc.), where standard regressions fail, the package can handle a nearly arbitrary amount of missing data. The current version supports maximum likelihood inference and a full Bayesian approach employing scale-mixtures for Gibbs sampling. Monotone data augmentation extends this Bayesian approach to arbitrary missingness patterns. A fully functional standalone interface to the Bayesian lasso (from Park & Casella), Normal-Gamma (from Griffin & Brown), Horseshoe (from Carvalho, Polson, & Scott), and ridge regression with model selection via Reversible Jump, and student-t errors (from Geweke) is also provided.

Install

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

install.packages("monomvn", 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-monomvn

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-monomvn

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-monomvn

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: 2.9 min · r-devel-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 1.9-21

READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes

Help pages: 17 (1 internal)includes a package overview page
Examples that run: 100%11 run in a plain check
Exported functions with examples: 82%
Documented parameters: 93%
Return-value docs: 91%
Help pages citing references: 88%

How these are measured

Downloads

8.7K

CRAN downloads in the past year

Rank #4,436 · ~24/day · ~726/mo

Releases R versions

Daily download trend is not available in this view yet.

73830 days

1.9K90 days

8.7K1 year

Compare downloads with other packages →

Also on420 r2u11 autocran152 c2d4u

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing monomvn adds 4 packages (3 with compiled code, 5.4 MB of source tarballs). Heaviest: pls 4.2 MB, mvtnorm 1.0 MB, lars 180 KB.

Depends (4)

R >= 2.14.0pls larsMASS

Imports (2)

quadprog mvtnorm

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 2

Suggests, most downloaded first

hetGP BayesianLasso

How these are counted

Code & Tests

Datasets

People & History

People (1)

Robert B. Gramacy

Author, Maintainer since 1.0 (2007)

with Fortran contributions from Cleve Moler (dpotri/LINPACK) as updated by Berwin A. Turlach (qpgen2/quadprog)

Listed in earlier versions (2)

Berwin A. Turlach

no longer listed · 1.9-13 to 1.9-20

Gramacy

no longer listed · 1.9-21

Releases (66)

Pick two releases to compare their code metrics.

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R 4.6.0 released · 2026-04-24
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R 4.5.0 released · 2025-04-11
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R 4.4.0 released · 2024-04-24
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R 4.2.0 released · 2022-04-22
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R 4.1.0 released · 2021-05-18
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R 4.0.0 released · 2020-04-24
unarchivedReturned to CRAN
2019-11-28
archivedRemoved from CRAN
2019-11-21
misrepresentation of authorship No credit for included LINPACK routines, nor from copying from quadprog
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R 3.6.0 released · 2019-04-26
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Package metadata

First published: 2007-06-11
Total releases: 66 / 19 yrs
License: LGPL
Minimum R: ≥ 2.14.0
Bundled data: 824 KB / 6 files
Download size: 961 KB

Appears in task views

Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("monomvn")

Format

Gramacy, R. B. (2024). monomvn: Estimation for MVN and Student-t Data with Monotone Missingness (Version 1.9-21) [Computer software]. https://doi.org/10.32614/CRAN.package.monomvn

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 monomvn version 1.9-21 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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