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mdpeer
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mdpeer . mdpeer results . mdpeer.pdf . mdpeer_1.0.1.tar.gz . mdpeer_1.0.1.zip . mdpeer_1.0.1.zip . mdpeer_1.0.1.zip . mdpeer_1.0.1.tgz . mdpeer_1.0.1.tgz . mdpeer_1.0.1.tgz . mdpeer_1.0.1.tgz . mdpeer_1.0.1.tgz . mdpeer_1.0.1.tgz . mdpeer archive . https://CRAN.R-project.org/package=mdpeer .
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 14 Mar. 2025.
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
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
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