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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
Previous versions and publish date:
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
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
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