Man pages for mcen
Multivariate Cluster Elastic Net

beta_adjustAdjusts the value of the coefficients to account for the...
beta_adjust_binAdjusts the value of the binomial coefficients to account for...
bin_horseThe workhorse function for the binomial updates in mcen. It...
CalcHorseBinCreates the the working response for all responses for glmnet...
CalcHorseEBinCreates the probabilities and working response for the glmnet...
clusterWrapper function for different clustering methods
cluster.valsReturns the cluster values from a cv.mcen object.
coef.cv.mcenReturns the coefficients from the cv.mcen object with the...
coef.mcenReturns the coefficients from an mcen object.
cv.mcenCross validation for mcen function
get_best_cvmGets the index position for the model with the smallest...
matrix_multiplymatrix multiply
mcenFits an MCEN model
mcen_bin_workhorseCalculates cluster assignment and coefficient estimates for a...
mcen.initProvides initial estimates for the mcen functionF
mcen_workhorseEstimates the clusters and provides the coefficients for an...
pred_evalCalculates the out of sample likelihood for an mcen object
pred_eval.mbinom_mcenEvaluates prediction error for multiple binomial responses.
pred_eval.mgauss_mcenCalculates the prediction error for a mgauss_mcen object.
predict.cv.mcenMakes predictions from the model with the smallest...
predict.mcenpredictions from a mcen model
print.cv.mcenPrints nice output for a cv.mcen object.
print.mcenPrints nice output for an mcen object.
randomly_assignrandomly assign n samples to k groups
SetEqSetEq test set equivalence of two clustering sets
squared_errorCalculates sum of squared error between two vectors or...
vl_binomCalculates out of sample error on the binomial likelihood
mcen documentation built on June 16, 2018, 1:38 p.m.