nnlasso
Non-Negative Lasso and Elastic Net Penalized Generalized Linear Models
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3 |
rolling linux/jammy R-4.5 | nnlasso_0.3.tar.gz |
116.5 KiB |
0.3 |
rolling linux/noble R-4.5 | nnlasso_0.3.tar.gz |
116.6 KiB |
0.3 |
rolling source/ R- | nnlasso_0.3.tar.gz |
18.2 KiB |
0.3 |
latest linux/jammy R-4.5 | nnlasso_0.3.tar.gz |
116.5 KiB |
0.3 |
latest linux/noble R-4.5 | nnlasso_0.3.tar.gz |
116.6 KiB |
0.3 |
latest source/ R- | nnlasso_0.3.tar.gz |
18.2 KiB |
0.3 |
2026-04-26 source/ R- | nnlasso_0.3.tar.gz |
18.2 KiB |
0.3 |
2026-04-23 source/ R- | nnlasso_0.3.tar.gz |
18.2 KiB |
0.3 |
2026-04-09 windows/windows R-4.5 | nnlasso_0.3.zip |
119.6 KiB |
0.3 |
2025-04-20 source/ R- | nnlasso_0.3.tar.gz |
18.2 KiB |