Package: FamilyRank 1.0
Michelle Saul
FamilyRank: Algorithm for Ranking Predictors Using Graphical Domain Knowledge
Grows families of features by selecting features that maximize a weighted score calculated from empirical feature scores and graphical knowledge. The final weighted score for a feature is determined by summing a feature's family-weighted scores across all families in which the feature appears.
Authors:
FamilyRank_1.0.tar.gz
FamilyRank_1.0.tar.gz(r-4.5-noble)FamilyRank_1.0.tar.gz(r-4.4-noble)
FamilyRank_1.0.tgz(r-4.4-emscripten)FamilyRank_1.0.tgz(r-4.3-emscripten)
FamilyRank.pdf |FamilyRank.html✨
FamilyRank/json (API)
# Install 'FamilyRank' in R: |
install.packages('FamilyRank', repos = c('https://cran.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 4 years agofrom:0c31311610. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 20 2024 |
Exports:createCasecreateControlcreateDatacreateGraphfamilyRankgrowindexFeatsrbinorm
Dependencies:plyrRcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Algorithm for Ranking Predictors Using Graphical Domain Knowledge | FamilyRank-package FamilyRank |
Simulate Cases | createCase |
Simulate Control | createControl |
Simulate Data | createData |
Simulate Graph | createGraph |
Feature Ranking with Family Rank | familyRank |
Grow Families | grow |
Re-index features | indexFeats |
Bimodal Normal Distribution | rbinorm |