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pgraph  

Build Dependency Graphs using Projection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pgraph", "1.6")



Attach the package and use:
library("pgraph")
Maintained by
Yang Feng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-14
Latest Update: 2020-01-21
Description:
Implements a general framework for creating dependency graphs using projection as introduced in Fan, Feng and Xia (2019). Both lasso and sparse additive model projections are implemented. Both Pearson correlation and distance covariance options are available to generate the graph.
How to cite:
Yang Feng (2016). pgraph: Build Dependency Graphs using Projection. R package version 1.6, https://cran.r-project.org/web/packages/pgraph. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 0.6 (2016-06-14 10:31), 0.8 (2016-10-13 20:37), 1.5 (2019-06-25 17:40)
Other packages that cited pgraph R package
View pgraph citation profile
Other R packages that pgraph depends, imports, suggests or enhances
Complete documentation for pgraph
Functions, R codes and Examples using the pgraph R package
Some associated functions: greg . pgraph . projcore . projcov . roc . 
Some associated R codes: funs.R . greg.R . pgraph.R . projcore.R . projcov.R . roc.R .  Full pgraph package functions and examples
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