PRIMAL-package: Parametric Simplex Method for Sparse Learning
In PRIMAL: Parametric Simplex Method for Sparse Learning
Description
Details
Author(s)
See Also
Description
A package for parametric simplex method for sparse learning
Details
Package: PRIMAL
Type: Package
Version: 1.0.0
Date: 2019-08-15
The package "PRIMAL" provides 5 main functions:
(1) The dantzig selector solver applying simplex method. Please refer to Dantzig_solver.
(2) The sparse SVM solver applying simplex method. Please refer to SparseSVM_solver.
(3) The compressed sensing solver. Please refer to CompressedSensing_solver.
(4) The quantile regression solver. Please refer to QuantileRegression_solver.
(5) The solver for standard formulation of parametric simplex method. Please refer to PSM_solver.
Author(s)
Qianli Shen, Zichong Li
See Also
plot.primal, print.primal, coef.primal
PRIMAL documentation built on Jan. 22, 2020, 5:06 p.m.
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Description Details Author(s) See Also
Description
A package for parametric simplex method for sparse learning
Details
| Package: | PRIMAL |
| Type: | Package |
| Version: | 1.0.0 |
| Date: | 2019-08-15 |
The package "PRIMAL" provides 5 main functions:
(1) The dantzig selector solver applying simplex method. Please refer to Dantzig_solver.
(2) The sparse SVM solver applying simplex method. Please refer to SparseSVM_solver.
(3) The compressed sensing solver. Please refer to CompressedSensing_solver.
(4) The quantile regression solver. Please refer to QuantileRegression_solver.
(5) The solver for standard formulation of parametric simplex method. Please refer to PSM_solver.
Author(s)
Qianli Shen, Zichong Li
See Also
plot.primal, print.primal, coef.primal
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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