| apg | Accelerated proximal gradient optimization |
| glm.apg | Fit a generalized linear model with various regularizations. |
| grad.logistic | Gradient of the logistic regression risk. |
| grad.quad | Gradient of the squared error. |
| grad.rankinglogistic | Gradient of the ranking logistic regression risk. |
| norm_vec | Euclidean norm of a vector |
| prox.boundednondecreasing | Proximal operator for the set of bounded non-decreasing... |
| prox.elasticnet | Proximal operator of the scaled elastic net penalty. |
| prox.grouplasso | Proximal operator of the group lasso penalty |
| prox.isotonic | Proximal operator of the isotonic constraint |
| prox.l1 | Proximal operator of the scaled L1 norm. |
| surv_to_pairs | Given survival information (time and status) for a set of... |
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