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nnlasso  

Non-Negative Lasso and Elastic Net Penalized Generalized Linear Models
View on CRAN: Click here


Download and install nnlasso package within the R console
Install from CRAN:
install.packages("nnlasso")

Install from Github:
library("remotes")
install_github("cran/nnlasso")

Install by package version:
library("remotes")
install_version("nnlasso", "0.3")



Attach the package and use:
library("nnlasso")
Maintained by
Baidya Nath Mandal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-03-16
Latest Update: 2016-03-10
Description:
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.
How to cite:
Baidya Nath Mandal (2015). nnlasso: Non-Negative Lasso and Elastic Net Penalized Generalized Linear Models. R package version 0.3, https://cran.r-project.org/web/packages/nnlasso. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1 (2015-03-16 08:46), 0.2 (2015-04-10 10:51)
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Complete documentation for nnlasso
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