Package: PRIMAL 1.0.2
PRIMAL: Parametric Simplex Method for Sparse Learning
Implements a unified framework of parametric simplex method for a variety of sparse learning problems (e.g., Dantzig selector (for linear regression), sparse quantile regression, sparse support vector machines, and compressive sensing) combined with efficient hyper-parameter selection strategies. The core algorithm is implemented in C++ with Eigen3 support for portable high performance linear algebra. For more details about parametric simplex method, see Haotian Pang (2017) <https://papers.nips.cc/paper/6623-parametric-simplex-method-for-sparse-learning.pdf>.
Authors:
PRIMAL_1.0.2.tar.gz
PRIMAL_1.0.2.zip(r-4.5)PRIMAL_1.0.2.zip(r-4.4)PRIMAL_1.0.2.zip(r-4.3)
PRIMAL_1.0.2.tgz(r-4.4-x86_64)PRIMAL_1.0.2.tgz(r-4.4-arm64)PRIMAL_1.0.2.tgz(r-4.3-x86_64)PRIMAL_1.0.2.tgz(r-4.3-arm64)
PRIMAL_1.0.2.tar.gz(r-4.5-noble)PRIMAL_1.0.2.tar.gz(r-4.4-noble)
PRIMAL_1.0.2.tgz(r-4.4-emscripten)PRIMAL_1.0.2.tgz(r-4.3-emscripten)
PRIMAL.pdf |PRIMAL.html✨
PRIMAL/json (API)
| # Install 'PRIMAL' in R: |
| install.packages('PRIMAL', repos = c('https://zichongli5.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 5 years agofrom:cd516a3897. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 06 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 06 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 06 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 06 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 06 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 06 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 06 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 06 2024 |
Exports:CompressedSensing_solverDantzig_solverPSM_solverQuantileRegression_solverSparseSVM_solver
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Parametric Simplex Method for Sparse Learning | PRIMAL-package primal-package _PACKAGE |
| Coef function for S3 class "primal" | coef.primal |
| Solve given compressed sensing problem in parametric simplex method | CompressedSensing_solver |
| Solve given Dantzig selector problem in parametric simplex method | Dantzig_solver |
| Plot function for S3 class "primal" | plot.primal |
| Print function for S3 class "primal" | print.primal |
| Solve given problem in parametric simplex method | PSM_solver |
| Solve given quantile regression problem in parametric simplex method | QuantileRegression_solver |
| Solve given Sparse SVM problem in parametric simplex method | SparseSVM_solver |
