R Observatory: Metrics for mpae version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mpae

0.1.2Package record

Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods)

0packages depend

2.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Ruben Fernandez-CasalCRAN page ↗GitHub ↗Issues ↗

Functions and datasets used in the book: Fernandez-Casal, R., Costa, J. and Oviedo-de la Fuente, M. (2024) "Metodos predictivos de aprendizaje estadistico" https://rubenfcasal.github.io/aprendizaje_estadistico/.

Install

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

install.packages("mpae", 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("rubenfcasal/mpae")

Development version from rubenfcasal/mpae. 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-mpae

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-mpae

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-mpae

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: 3.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02

Show 2 earlier changesHide 2 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

READMEYes · 147 wordsVignettesNoNEWSYes · 100% structured · does not mention 0.1.2Citation fileNo

Help pages: 10includes a package overview page
Examples that run: 100%9 run in a plain check
Exported functions with examples: 100%
Documented parameters: 93%
Return-value docs: 100%
Help pages citing references: 70%

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #18,708 · ~7/day · ~213/mo

Releases R versions

Daily download trend is not available in this view yet.

25030 days

69890 days

2.6K1 year

Compare downloads with other packages →

Also on68 r2u5 autocran

How downloads are counted

Repository

rubenfcasal/mpae ↗Account: rubenfcasal

0Stars

1Forks

0Open issues

0Open PRs

1Releases

13Commits

1Commit identities

13 commits · Last activity 2024-03-23

Responsiveness

not measured

How these are measured

PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/rubenfcasal/mpae on 2026-10-18.

Docs source (2)

pkgdown

GitHub Pages site last deployed 2024-03-23

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing mpae adds 135 packages (70 with compiled code, 97 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)

R >= 3.5.0graphics

Imports (2)

caret RcmdrMisc

LinkingTo (0)

none

Suggests (13)

car gbm leaps lmtest glmnetmgcvnp NeuralNetTools pdp vivid plot3D AppliedPredictiveModeling ISLR

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 (3)

Ruben Fernandez-Casal

Author, Maintainer since 0.1.2 (2024)

Julian Costa-Bouzas

Author

Manuel Oviedo-de la Fuente

Author

Releases (1)

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
0.1.2Latest
record
2024-03-21 · current release
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-03-21
Total releases: 1 / 2 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 83 KB / 6 files
Download size: 101 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mpae")

Format

Fernandez-Casal, R., Costa-Bouzas, J., & Oviedo-de la Fuente, M. (2024). mpae: Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods) (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.mpae

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 mpae version 0.1.2 [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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