Other packages > Find by keyword >

mdpeer  

Graph-Constrained Regression with Enhanced Regularization Parameters Selection
View on CRAN: Click here


Download and install mdpeer package within the R console
Install from CRAN:
install.packages("mdpeer")

Install from Github:
library("remotes")
install_github("cran/mdpeer")

Install by package version:
library("remotes")
install_version("mdpeer", "1.0.1")



Attach the package and use:
library("mdpeer")
Maintained by
Marta Karas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-25
Latest Update: 2017-05-30
Description:
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.
How to cite:
Marta Karas (2016). mdpeer: Graph-Constrained Regression with Enhanced Regularization Parameters Selection. R package version 1.0.1, https://cran.r-project.org/web/packages/mdpeer. Accessed 23 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:29), 0.1.0 (2016-11-25 19:48)
Other packages that cited mdpeer R package
View mdpeer citation profile
Other R packages that mdpeer depends, imports, suggests or enhances
Complete documentation for mdpeer
Functions, R codes and Examples using the mdpeer R package
Some associated functions: Adj2Lap . L2L.normalized . mdpeer . riPEER . riPEERc . vizu.mat.factor . vizu.mat . vrPEER . 
Some associated R codes: Adj2Lap.R . L2Lnormalized.R . mdpeer.R . riPEER.R . riPEERc.R . vizumat2.R . vrPEER.R .  Full mdpeer package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

docreview  
Opinionated Documentation Checking
High quality documentation can make for a great experience for your users. You can use 'docreview' t ...
Download / Learn more Package Citations See dependency  
diffr  
Display Differences Between Two Files using Codediff Library
An R interface to the 'codediff' JavaScript library (a copy of which is included in the package, se ...
Download / Learn more Package Citations See dependency  
RKorAPClient  
'KorAP' Web Service Client Package
A client package that makes the 'KorAP' web service API accessible from R. The corpus analysis plat ...
Download / Learn more Package Citations See dependency  
umap  
Uniform Manifold Approximation and Projection
Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
gghighlight  
Highlight Lines and Points in 'ggplot2'
Make it easier to explore data with highlights. ...
Download / Learn more Package Citations See dependency  

28,720

R Packages

247,686

Dependencies

75,677

Author Associations

28,721

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA