Package: pgraph 1.6

pgraph: Build Dependency Graphs using Projection

Implements a general framework for creating dependency graphs using projection as introduced in Fan, Feng and Xia (2019)<arxiv:1501.01617>. Both lasso and sparse additive model projections are implemented. Both Pearson correlation and distance covariance options are available to generate the graph.

Authors:Yang Feng [aut, cre], Jianqing Fan [aut], Lucy Xia [aut]

pgraph_1.6.tar.gz
pgraph_1.6.zip(r-4.7-any)pgraph_1.6.zip(r-4.6-any)pgraph_1.6.zip(r-4.5-any)
pgraph_1.6.tgz(r-4.6-any)pgraph_1.6.tgz(r-4.5-any)
pgraph_1.6.tar.gz(r-4.7-any)pgraph_1.6.tar.gz(r-4.6-any)
pgraph_1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pgraph/json (API)

# Install 'pgraph' in R:
install.packages('pgraph', repos = c('https://yangfengstat.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 286 downloads 5 exports 15 dependencies

Last updated from:f2f303329c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK131
source / vignettesOK220
linux-releaseOK134
macos-releaseOK143
macos-oldrelOK180
windows-develOK76
windows-releaseOK78
windows-oldrelOK68
wasm-releaseOK98

Exports:gregpgraphprojcoreprojcovroc

Dependencies:bootcodetoolsenergyforeachglassoglmnetgsliteratorslatticeMatrixRcppRcppEigenSAMshapesurvival