Man pages for RKHSMetaMod
Ridge Group Sparse Optimization Problem for Estimation of a Meta Model Based on Reproducing Kernel Hilbert Spaces

calc_q_functionFunction to fit a solution with q active groups of an RKHS...
EmSIFunction to calculate the empirical sensitivity indices for...
fct_kv_EvaluesQFunction to calculate the Gram matrices and their eigenvalues...
group_lasso_functionFunction to fit a solution of an RKHS Group Lasso problem.
MetaModelFunction to produce a sequence of meta models that are the...
MetaModel_qmaxFunction to produce a sequence of meta models, with at most...
mumaxFunction to find the maximal value of the penalty parameter...
penMetaMod_mu_gammaFunction to fit a solution of the RKHS Ridge Group Sparse...
PredictionErrorFunction to calculate the prediction error.
RKHSMetaMod-packageSet of Rcpp and R functions to produce a sequence of meta...
RKHSMetaMod documentation built on July 7, 2019, 1:07 a.m.