R Observatory: Metrics for mmpf version 0.0.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2024-05-29. Its history is shown below.

Reason: email to the maintainer is undeliverable

Details below reflect version 0.0.5, its last release before removal.

mmpf

0.0.5

Monte-Carlo Methods for Prediction Functions

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Zachary Jones5 releasesCRAN page ↗

Marginalizes prediction functions using Monte-Carlo integration and computes permutation importance.

Install

R (source archive)Ubuntu (r2u)openSUSE (OBS)

url <- "https://cran.r-project.org/src/contrib/Archive/mmpf/mmpf_0.0.5.tar.gz"
pkgFile <- "mmpf_0.0.5.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 (0.0.5) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

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-mmpf

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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

# 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-mmpf

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

Yes

Tests · ratio 0.40

not tracked

Coverage

100%

Documentation · exports

2

Dependencies · direct

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 87%
Return-value docs: 100%
References docs: 0%

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on84 r2u15 autocran47 c2d4u

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (2)

checkmate data.table

LinkingTo (0)

none

Suggests (6)

testthat rmarkdown knitr randomForest ggplot2 reshape2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Zachary Jones

Author, Maintainer

Authors (1)

Zachary Jones

Author, Maintainer

Package Timeline

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

R
R 4.5.0 released · 2025-04-11
archivedRemoved from CRAN
2024-05-29
email to the maintainer is undeliverable
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
R
R 3.6.0 released · 2019-04-26
0.0.5
2018-10-24 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.0.4
2017-12-05 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.0.3
2017-03-05 · diff ↗
0.0.2
2016-11-30 · diff ↗
0.0.1
2016-11-12
R
R 3.3.0 released · 2016-05-03

Package metadata

Total releases: 5
License: MIT + file LICENSE OSI
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("mmpf")

Format

Jones, Z. (n.d.). mmpf: Monte-Carlo Methods for Prediction Functions (Version 0.0.5) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=mmpf

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 mmpf version 0.0.5 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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