API for netReg
Network-Regularized Regression Models
| Global functions | |
|---|---|
| .as.family | Source code |
| .cv.edgenet | Source code |
| .cv.edgenet.post.process | Source code |
| .edgenet | Source code |
| .edgenet.x.penalty | Source code |
| .edgenet.y.penalty | Source code |
| .elastic.penalty | Source code |
| .get.params | Source code |
| .group.lasso | Source code |
| .group.lasso.penalty | Source code |
| .lasso.penalty | Source code |
| .onAttach | Source code |
| .onLoad | Source code |
| .onUnload | Source code |
| .predict | Source code |
| .ridge.penalty | Source code |
| .summary | Source code |
| adam | Source code |
| beta | Man page Source code |
| beta.loss | Source code |
| binomial | Man page Source code |
| binomial.loss | Source code |
| cast_float | Source code |
| check.dimensions | Source code |
| check.graphs | Source code |
| check.matrices | Source code |
| check.param | Source code |
| coef.cv.edgenet | Source code |
| coef.cv.group.lasso | Source code |
| coef.edgenet | Source code |
| coef.group.lasso | Source code |
| constant_float | Source code |
| cross.validate | Source code |
| cv.edgenet | Man page |
| cv.edgenet,matrix,matrix-method | Man page |
| cv.edgenet,matrix,numeric-method | Man page |
| edgenet | Man page |
| edgenet,matrix,matrix-method | Man page |
| edgenet,matrix,numeric-method | Man page |
| edgenet.loss | Source code |
| exp | Source code |
| family | Man page Source code |
| family.cv.edgenet | Source code |
| family.edgenet | Source code |
| fit | Source code |
| gamma | Man page Source code |
| gamma.loss | Source code |
| gaussian | Man page Source code |
| gaussian.loss | Source code |
| gcdf | Source code |
| get.family | Source code |
| group.lasso | Man page |
| group.lasso,matrix,matrix-method | Man page |
| group.lasso,matrix,numeric-method | Man page |
| group.lasso.loss | Source code |
| identity | Source code |
| init_variables | Source code |
| intercept | Source code |
| intercept.matrix | Source code |
| intercept_ | Source code |
| inverse | Source code |
| inverse.exp | Source code |
| inverse.gaussian | Man page Source code |
| inverse.gaussian.loss | Source code |
| inverse.sqrt | Source code |
| is.positive.numeric | Source code |
| laplacian_ | Source code |
| linear.predictor | Source code |
| logistic | Source code |
| netReg-package | Man page |
| node_degrees_ | Source code |
| not.supported.yet | Source code |
| optim | Source code |
| placeholder | Source code |
| poisson | Man page Source code |
| poisson.loss | Source code |
| predict.binomial.edgenet | Source code |
| predict.binomial.group.lasso | Source code |
| predict.cv.edgenet | Source code |
| predict.cv.group.lasso | Source code |
| predict.gaussian.edgenet | Source code |
| predict.gaussian.group.lasso | Source code |
| predict.poisson.edgenet | Source code |
| predict.poisson.group.lasso | Source code |
| print.cv.edgenet | Source code |
| print.cv.group.lasso | Source code |
| print.edgenet | Source code |
| print.group.lasso | Source code |
| print.netReg.family | Source code |
| reset_graph | Source code |
| rss | Source code |
| session | Source code |
| summary.cv.edgenet | Source code |
| summary.cv.group.lasso | Source code |
| summary.edgenet | Source code |
| summary.group.lasso | Source code |
| summary.netReg.family | Source code |
| warn.experimental | Source code |
| yeast | Man page |
| zero_matrix | Source code |
| zero_vector | Source code |
