Man pages for extlasso
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
| bars | Error bars |
| coef.extlasso | Extract coefficients from a fitted extlasso object |
| cv.binomial | k-fold cross validation for penalized generalized linear... |
| cv.extlasso | k-fold cross validation for penalized generalized linear... |
| cv.normal | k-fold cross validation for penalized generalized linear... |
| cv.poisson | k-fold cross validation for penalized generalized linear... |
| extlasso | Entire regularization path of penalized generalized linear... |
| extlasso.binomial | Entire regularization path of penalized generalized linear... |
| extlasso.binom.lambda | Coefficients of penalized generalized linear models for a... |
| extlasso.normal | Entire regularization path of penalized generalized linear... |
| extlasso.norm.lambda | Coefficients of penalized generalized linear models for a... |
| extlasso.pois.lambda | Coefficients of penalized generalized linear models for a... |
| extlasso.poisson | Entire regularization path of penalized generalized linear... |
| fl.lambda | Coefficients of fused lasso penalized regression for a given... |
| fold | Particular fold of a data after k fold partition |
| fusedlasso | Fused lasso penalized linear regression |
| 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 |
| plot.extlasso | Plot of regularization path |
| predict.extlasso | Prediction of coefficients of a penalized linear regression... |
