API for GPBayes
Tools for Gaussian Process Modeling in Uncertainty Quantification

Global functions
.check.arg.gp Source code
.check.arg.gp.sim Source code
.onAttach Source code
.onUnload Source code
ARD_loglik Source code
BesselK Man page Source code
CH Man page Source code
CH_deriv_nu Source code
CH_deriv_range Source code
CH_deriv_tail Source code
FisherIR_intlik Source code
FisherInfo Source code
GPBayes-package Man page Man page
GPpredict Source code
GPsim Source code
GaSP Man page Source code
HypergU Man page Source code
MCMCOBayes Source code
MCMCOBayesRef Source code
MCMCOBayesRef_pred Source code
MCMCOBayes_Ref Source code
MCMCOBayes_pred Source code
MCMCSBayes Source code
MCMCSBayes_pred Source code
MCMCtest Source code
MMLE Source code
MPLE Source code
SPLoglik Source code
cauchy Man page Source code
condsim Source code
cor.to.par Man page Source code
deriv_ARD_CH Source code
deriv_ARD_matern Source code
deriv_ARD_powexp Source code
deriv_kernel Man page Source code
distance Man page Source code
gp Man page Source code
gp-class Man page
gp.condsim Man page Source code
gp.fisher Man page Source code
gp.get.mcmc Man page Source code
gp.mcmc Man page Source code
gp.model.adequacy Man page Source code
gp.optim Man page Source code
gp.predict Man page Source code
gp.sim Man page Source code
gradient_loglik Source code
gradient_loglik_xi Source code
ikernel Man page Source code
ilogit Source code
iso_loglik Source code
kernel Man page Source code
logit Source code
loglik Man page Source code
loglik_xi Source code
matern Man page Source code
matern_deriv_range Source code
model_evaluation Source code
post_predictive_sampling Source code
powexp Man page Source code
reference_prior Source code
show,gp-method Man page
show,gp-methods Man page
tensor_loglik Source code
GPBayes documentation built on May 29, 2024, 7:30 a.m.