Package: fastliu 1.0
Murat Genç
fastliu: Fast Functions for Liu Regression with Regularization Parameter and Statistics
Efficient computation of the Liu regression coefficient paths, Liu-related statistics and information criteria for a grid of the regularization parameter. The computations are based on the 'C++' library 'Armadillo' through the 'R' package 'Rcpp'.
Authors:
fastliu_1.0.tar.gz
fastliu_1.0.tar.gz(r-4.5-noble)fastliu_1.0.tar.gz(r-4.4-noble)
fastliu_1.0.tgz(r-4.4-emscripten)fastliu_1.0.tgz(r-4.3-emscripten)
fastliu.pdf |fastliu.html✨
fastliu/json (API)
# Install 'fastliu' in R: |
install.packages('fastliu', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
Datasets:
- Hitters - Hitters
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:37ce98a1fb. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 02 2024 |
R-4.5-linux-x86_64 | OK | Dec 02 2024 |
Exports:covliudiagHliuhatliuinfoliulamestliuregpressliustatliu
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Extract coefficient estimates from a liureg object | coef.liureg |
Covariance matrix based on a fitted liureg object. | covliu |
Diagonal Elements of the Hat Matrix | diagHliu |
Hat matrix of Liu Regression | hatliu |
Hitters | Hitters |
Information Criteria for Liu Regression | infoliu |
Computation of Liu Tuning Parameter | lamest |
Fit a Liu Regression Coefficients Path | liureg |
Plot method for liureg objects | plot.liureg |
Predict method for liureg objects | predict.liureg |
Predicted Residual Sum of Squares (PRESS) | pressliu |
Print method for liureg objects | print.liureg |
Print Method for Liu Regression Statistics | print.statliu |
Liu Regression Residuals | residuals.liureg |
Liu Regression Statistics | statliu |
Summarizing Liu Regression Fit | summary.liureg |