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mdpeer

1.0.1Package record

Graph-Constrained Regression with Enhanced Regularization Parameters Selection

0packages depend
2.5Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Provides graph-constrained regression methods in which regularization parameters are selected automatically via estimation of equivalent Linear Mixed Model formulation. 'riPEER' (ridgified Partially Empirical Eigenvectors for Regression) method employs a penalty term being a linear combination of graph-originated and ridge-originated penalty terms, whose two regularization parameters are ML estimators from corresponding Linear Mixed Model solution; a graph-originated penalty term allows imposing similarity between coefficients based on graph information given whereas additional ridge-originated penalty term facilitates parameters estimation: it reduces computational issues arising from singularity in a graph-originated penalty matrix and yields plausible results in situations when graph information is not informative. 'riPEERc' (ridgified Partially Empirical Eigenvectors for Regression with constant) method utilizes addition of a diagonal matrix multiplied by a predefined (small) scalar to handle the non-invertibility of a graph Laplacian matrix. 'vrPEER' (variable reducted PEER) method performs variable-reduction procedure to handle the non-invertibility of a graph Laplacian matrix.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from:
  ‘glmnet’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE9 OK, 5 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMEYes · 203 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
8includes a package overview page
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
38%

Downloads

2.5K
CRAN downloads in the past year
Rank #17,964 · ~7/day · ~205/mo
Daily download trend is not available in this view yet.
28530 days
70790 days
2.5K1 year
Compare downloads with other packages →
Also on69 r2u10 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing mdpeer adds 35 packages (17 with compiled code, 38 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, glmnet 2.7 MB.

Depends (1)
R >= 3.3.3
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.0 (2016)
Contributor
Releases (2)

Pick two releases to compare their code metrics.

  • 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
  • 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
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.1Latest
    record
    2017-05-30 · current release · diff ↗ ·
    removed 4 exports
    RidgePEER, RidgePEER.cv, crPEER, dist2sim
    added 3 exports
    riPEER, riPEERc, vizu.mat.factor
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.0
    record
    2016-11-25
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-11-25
Total releases
2 / 10 yrs
License
GPL-2 OSI
Minimum R
≥ 3.3.3
Download size
287 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mdpeer")
Karas, M., Brzyski, D., & Harezlak, J. (2017). mdpeer: Graph-Constrained Regression with Enhanced Regularization Parameters Selection (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.mdpeer

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mdpeer version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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