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:
pgraph_1.6.tar.gz
pgraph_1.6.zip(r-4.5)pgraph_1.6.zip(r-4.4)pgraph_1.6.zip(r-4.3)
pgraph_1.6.tgz(r-4.4-any)pgraph_1.6.tgz(r-4.3-any)
pgraph_1.6.tar.gz(r-4.5-noble)pgraph_1.6.tar.gz(r-4.4-noble)
pgraph_1.6.tgz(r-4.4-emscripten)pgraph_1.6.tgz(r-4.3-emscripten)
pgraph.pdf |pgraph.html✨
pgraph/json (API)
# Install 'pgraph' in R: |
install.packages('pgraph', repos = c('https://yangfengstat.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:f2f303329c. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win | OK | Nov 02 2024 |
R-4.5-linux | OK | Nov 02 2024 |
R-4.4-win | OK | Nov 02 2024 |
R-4.4-mac | OK | Nov 02 2024 |
R-4.3-win | OK | Nov 02 2024 |
R-4.3-mac | OK | Nov 02 2024 |
Exports:gregpgraphprojcoreprojcovroc
Dependencies:bootcodetoolsenergyforeachglassoglmnetgsliteratorslatticeMatrixRcppRcppEigenSAMshapesurvival