Man pages for mcen
Multivariate Cluster Elastic Net
| beta_adjust | Adjusts the value of the coefficients to account for the... |
| beta_adjust_bin | Adjusts the value of the binomial coefficients to account for... |
| bin_horse | The workhorse function for the binomial updates in mcen. It... |
| CalcHorseBin | Creates the the working response for all responses for glmnet... |
| CalcHorseEBin | Creates the probabilities and working response for the glmnet... |
| cluster | Wrapper function for different clustering methods |
| cluster.vals | Returns the cluster values from a cv.mcen object. |
| coef.cv.mcen | Returns the coefficients from the cv.mcen object with the... |
| coef.mcen | Returns the coefficients from an mcen object. |
| cv.mcen | Cross validation for mcen function |
| get_best_cvm | Gets the index position for the model with the smallest... |
| matrix_multiply | matrix multiply |
| mcen | Fits an MCEN model |
| mcen_bin_workhorse | Calculates cluster assignment and coefficient estimates for a... |
| mcen.init | Provides initial estimates for the mcen functionF |
| mcen_workhorse | Estimates the clusters and provides the coefficients for an... |
| pred_eval | Calculates the out of sample likelihood for an mcen object |
| pred_eval.mbinom_mcen | Evaluates prediction error for multiple binomial responses. |
| pred_eval.mgauss_mcen | Calculates the prediction error for a mgauss_mcen object. |
| predict.cv.mcen | Makes predictions from the model with the smallest... |
| predict.mcen | predictions from a mcen model |
| print.cv.mcen | Prints nice output for a cv.mcen object. |
| print.mcen | Prints nice output for an mcen object. |
| randomly_assign | randomly assign n samples to k groups |
| SetEq | SetEq test set equivalence of two clustering sets |
| squared_error | Calculates sum of squared error between two vectors or... |
| vl_binom | Calculates out of sample error on the binomial likelihood |
