Package: Grace 0.5.3

Grace: Graph-Constrained Estimation and Hypothesis Tests

Use the graph-constrained estimation (Grace) procedure (Zhao and Shojaie, 2016 <doi:10.1111/biom.12418>) to estimate graph-guided linear regression coefficients and use the Grace/GraceI/GraceR tests to perform graph-guided hypothesis tests on the association between the response and the predictors.

Authors:Sen Zhao

Grace_0.5.3.tar.gz
Grace_0.5.3.zip(r-4.5)Grace_0.5.3.zip(r-4.4)Grace_0.5.3.zip(r-4.3)
Grace_0.5.3.tgz(r-4.4-any)Grace_0.5.3.tgz(r-4.3-any)
Grace_0.5.3.tar.gz(r-4.5-noble)Grace_0.5.3.tar.gz(r-4.4-noble)
Grace_0.5.3.tgz(r-4.4-emscripten)Grace_0.5.3.tgz(r-4.3-emscripten)
Grace.pdf |Grace.html✨
Grace/json (API)

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

Peer review:

Bug tracker:https://github.com/sen-zhao/grace/issues

On CRAN:

3.70 score 1 stars 7 scripts 222 downloads 65 mentions 4 exports 13 dependencies

Last updated 8 years agofrom:b667014c71. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winOKNov 05 2024
R-4.5-linuxOKNov 05 2024
R-4.4-winOKNov 05 2024
R-4.4-macOKNov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

Exports:gracegrace.testgraceI.testmake.L

Dependencies:codetoolsforeachglmnetiteratorslarslatticeMASSMatrixRcppRcppEigenscalregshapesurvival