| bars | Error bars |
| car | The car data |
| coef.nnlasso | Extract coefficients from a fitted nnlasso object |
| cv.nnlasso | k-fold cross validation for penalized generalized linear... |
| cv.nnlasso.binomial | k-fold cross validation for penalized generalized linear... |
| cv.nnlasso.normal | k-fold cross validation for penalized generalized linear... |
| cv.nnlasso.poisson | k-fold cross validation for penalized generalized linear... |
| fold | Particular fold of a data after k fold partition |
| kfold | k-fold partition of data at random |
| msefun.binomial | Deviances for hold out data in cross validation |
| msefun.normal | Prediction means squared errors for hold out data in cross... |
| msefun.poisson | Deviances for hold out data in cross validation |
| nnlasso | Entire regularization path of non-negative penalized... |
| nnlasso.binomial | Entire regularization path of non-negative penalized... |
| nnlasso.binomial.lambda | Coefficients of non-negative penalized generalized linear... |
| nnlasso.normal | Entire regularization path of non-negative penalized... |
| nnlasso.normal.lambda | Coefficients of non-negative penalized generalized linear... |
| nnlasso.poisson | Entire regularization path of non-negative penalized... |
| nnlasso.poisson.lambda | Coefficients of non-negative penalized generalized linear... |
| plot.nnlasso | Plot of regularization path |
| predict.nnlasso | Prediction of coefficients of a penalized linear regression... |
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