Introduction | Installation | Quick Start | References
Package: glmtlp 2.0.3
glmtlp: Generalized Linear Models with Truncated Lasso Penalty
Extremely efficient procedures for fitting regularization path with l0, l1, and truncated lasso penalty for linear regression and logistic regression models. This version is a completely new version compared with our previous version, which was mainly based on R. New core algorithms are developed and are now written in C++ and highly optimized.
Authors:
glmtlp_2.0.3.tar.gz
glmtlp_2.0.3.zip(r-4.7-x86_64)glmtlp_2.0.3.zip(r-4.7-arm64)glmtlp_2.0.3.zip(r-4.6-x86_64)glmtlp_2.0.3.zip(r-4.6-arm64)glmtlp_2.0.3.zip(r-4.5-x86_64)
glmtlp_2.0.3.tgz(r-4.6-x86_64)glmtlp_2.0.3.tgz(r-4.6-arm64)glmtlp_2.0.3.tgz(r-4.5-x86_64)glmtlp_2.0.3.tgz(r-4.5-arm64)
glmtlp_2.0.3.tar.gz(r-4.7-arm64)glmtlp_2.0.3.tar.gz(r-4.7-x86_64)glmtlp_2.0.3.tar.gz(r-4.6-arm64)glmtlp_2.0.3.tar.gz(r-4.6-x86_64)
glmtlp_2.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
glmtlp/json (API)
| # Install 'glmtlp' in R: |
| install.packages('glmtlp', repos = c('https://yuyangstat.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 from:e470742fa8. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 114 | ||
| linux-devel-x86_64 | OK | 133 | ||
| source / vignettes | OK | 269 | ||
| linux-release-arm64 | OK | 100 | ||
| linux-release-x86_64 | OK | 140 | ||
| macos-release-arm64 | OK | 197 | ||
| macos-release-x86_64 | OK | 489 | ||
| macos-oldrel-arm64 | OK | 211 | ||
| macos-oldrel-x86_64 | OK | 319 | ||
| windows-devel-arm64 | OK | 345 | ||
| windows-devel-x86_64 | OK | 126 | ||
| windows-release-arm64 | OK | 355 | ||
| windows-release-x86_64 | OK | 124 | ||
| windows-oldrel-x86_64 | OK | 92 | ||
| wasm-release | OK | 98 |
Exports:coef.cv.glmtlpcoef.glmtlpcv.glmtlpgen.binomial.datagen.gaussian.dataglmtlpplot.cv.glmtlpplot.glmtlppredict.cv.glmtlppredict.glmtlp
Dependencies:clicodetoolscpp11doParallelfarverforeachggplot2gluegtableisobanditeratorslabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A simulated binomial data set. | bin_data |
| Cross-validation for glmtlp | cv.glmtlp |
| A simulated gaussian data set. | gau_data |
| Simulate a binomial data set | gen.binomial.data |
| Simulate a gaussian data set | gen.gaussian.data |
| Plot Method for a "cv.glmtlp" Object | plot.cv.glmtlp |
| Plot Method for a "glmtlp" Object | plot.glmtlp |
| Predict Method for a "cv.glmtlp" Object. | coef.cv.glmtlp predict.cv.glmtlp |
| Predict Method for a "glmtlp" Object | coef.glmtlp predict.glmtlp |
| Generate lambda sequence. | setup_lambda |