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Estimates of coefficients of lasso penalized linear regression and generalized linear models subject to non-negativity constraints on the parameters using multiplicative iterative algorithm. Entire regularization path for a sequence of lambda values can be obtained. Functions are available for creating plots of regularization path, cross validation and estimating coefficients at a given lambda value. There is also provision for obtaining standard error of coefficient estimates.
| Version: | 0.3 |
| Depends: | R (≥ 3.2.2) |
| Published: | 2016-03-10 |
| DOI: | 10.32614/CRAN.package.nnlasso |
| Author: | Baidya Nath Mandal and Jun Ma |
| Maintainer: | Baidya Nath Mandal <mandal.stat at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | nnlasso results |
| Reference manual: | nnlasso.pdf |
| Package source: | nnlasso_0.3.tar.gz |
| Windows binaries: | r-devel: nnlasso_0.3.zip, r-release: nnlasso_0.3.zip, r-oldrel: nnlasso_0.3.zip |
| macOS binaries: | r-release (arm64): nnlasso_0.3.tgz, r-oldrel (arm64): nnlasso_0.3.tgz, r-release (x86_64): nnlasso_0.3.tgz, r-oldrel (x86_64): nnlasso_0.3.tgz |
| Old sources: | nnlasso archive |
| Reverse imports: | SparseSignatures |
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