R Observatory: Metrics for autoMrP version 1.0.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2026-04-02. Its history is shown below.

Reason: requires archived package 'EBMAforecast'

Details below reflect version 1.0.6, its last release before removal.

autoMrP

1.0.6Package record

Improving MrP with Ensemble Learning

0packages depend

1.7Kdownloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Philipp BronieckiCRAN page ↗GitHub ↗

A tool that improves the prediction performance of multilevel regression with post-stratification (MrP) by combining a number of machine learning methods. For information on the method, please refer to Broniecki, Wüest, Leemann (2020) ''Improving Multilevel Regression with Post-Stratification Through Machine Learning (autoMrP)'' in the 'Journal of Politics'. Final pre-print version: https://lucasleemann.files.wordpress.com/2020/07/automrp-r2pa.pdf.

Changes in 1.0.6

implements Deep MrP by Gopelrud as presented in https://doi.org/10.1017/S0003055423000035
Set argument deep.mrp = TRUE to include Deep MrP in the ensemble

From NEWS.md in the release

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/autoMrP/autoMrP_1.0.6.tar.gz"
pkgFile <- "autoMrP_1.0.6.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 (1.0.6) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

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

Development version from retowuest/autoMrP. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Status changes

OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.6

READMEYes · 77 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 1.0.6Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 47
Examples that run: 33%1 run in a plain check · 2 hold no code
Exported functions with examples: 33%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

1.7K

CRAN downloads in the past year

Rank #25,653 · ~5/day · ~144/mo

Releases R versions

Daily download trend is not available in this view yet.

030 days

090 days

1.7K1 year

Compare downloads with other packages →

Also on67 r2u26 autocran

How downloads are counted

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.6

Imports (18)

rlang dplyr lme4 gbm (>= 2.1.5)e1071 tibble glmmLasso (>= 1.5.1)EBMAforecast foreach doParallel doRNG ggplot2 knitr (>= 1.29)tidyr purrr forcats vglmer stringr

LinkingTo (0)

none

Suggests (1)

R.rsp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (5)

Philipp Broniecki

Author, Maintainer since 0.98 (2021)

Reto Wüest

Author

Lucas Leemann

Author

Florian Schaffner

Author · added in 1.0.6

Hadley Wickham

Contributor

Releases (7)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2026-04-02
requires archived package 'EBMAforecast'
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.6
record
2024-01-30 · diff ↗
unarchivedReturned to CRAN
2023-08-17
1.0.3
record
2023-08-17 · diff ↗
R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2023-04-07
issues were not corrected in time
R
R 4.2.0 released · 2022-04-22
1.0.2
record
2022-04-04 · diff ↗
1.0.1
record
2022-02-07 · diff ↗
1.0.0
record
2022-01-11 · diff ↗
0.99
record
2021-12-15 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.98
record
2021-01-21

Show 1 earlier eventHide 1 earlier event

R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-01-21
Total releases: 7 / 5 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.6
Bundled data: 92 KB / 6 files
Download size: 366 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("autoMrP")

Format

Wüest, R., Leemann, L., Schaffner, F., Broniecki, P., & Wickham, H. (n.d.). autoMrP: Improving MrP with Ensemble Learning (Version 1.0.6) [Computer software]. Retrieved October 23, 2026, from https://CRAN.R-project.org/package=autoMrP

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 autoMrP version 1.0.6 [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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