Non-Negative Lasso and Elastic Net Penalized Generalized Linear Models
Error bars
Extract coefficients from a fitted nnlasso object
k-fold cross validation for penalized generalized linear models subjec...
k-fold cross validation for penalized generalized linear models for no...
k-fold cross validation for penalized generalized linear models for po...
k-fold cross validation for penalized generalized linear models for no...
Particular fold of a data after k fold partition
k-fold partition of data at random
Deviances for hold out data in cross validation
Prediction means squared errors for hold out data in cross validation
Deviances for hold out data in cross validation
Coefficients of non-negative penalized generalized linear models for a...
Entire regularization path of non-negative penalized generalized linea...
Coefficients of non-negative penalized generalized linear models for a...
Entire regularization path of non-negative penalized generalized linea...
Coefficients of non-negative penalized generalized linear models for a...
Entire regularization path of non-negative penalized generalized linea...
Entire regularization path of non-negative penalized generalized linea...
Plot of regularization path
Prediction of coefficients of a penalized linear regression or general...
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.