Package: tlars 1.0.1
tlars: The T-LARS Algorithm: Early-Terminated Forward Variable Selection
Computes the solution path of the Terminating-LARS (T-LARS) algorithm. The T-LARS algorithm is a major building block of the T-Rex selector (see R package 'TRexSelector'). The package is based on the papers Machkour, Muma, and Palomar (2022) <arxiv:2110.06048>, Efron, Hastie, Johnstone, and Tibshirani (2004) <doi:10.1214/009053604000000067>, and Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>.
Authors:
tlars_1.0.1.tar.gz
tlars_1.0.1.tar.gz(r-4.5-noble)tlars_1.0.1.tar.gz(r-4.4-noble)
tlars_1.0.1.tgz(r-4.4-emscripten)tlars_1.0.1.tgz(r-4.3-emscripten)
tlars.pdf |tlars.html✨
tlars/json (API)
NEWS
# Install 'tlars' in R: |
install.packages('tlars', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jasinmachkour/tlars/issues
- Gauss_data - Toy data generated from a Gaussian linear model
Last updated 10 months agofrom:3676f6dd14. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux-x86_64 | OK | Nov 20 2024 |
Exports:tlarstlars_cpptlars_model
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Toy data generated from a Gaussian linear model | Gauss_data |
Plots the T-LARS solution path | plot.Rcpp_tlars_cpp |
Prints a summary of the results stored in a C++ object of class tlars_cpp. | print.Rcpp_tlars_cpp |
Executes the Terminating-LARS (T-LARS) algorithm | tlars |
Exposes the C++ class tlars_cpp to R | tlars_cpp |
Creates a Terminating-LARS (T-LARS) object | tlars_model |