API for nsgp
Non-Stationary Gaussian Process Regression

Global functions
.RBF Source code
.RBF.blocks Source code
.RBF.deriv Source code
.RBF.deriv2 Source code
.bexp Source code
.drawSamples Source code
.drawShading Source code
.gaussiankernel Source code
.ggplotcolors Source code
.handlenoise Source code
.interpolate Source code
.learnnoise Source code
.normkernel Source code
.nsRBF Source code
.nsRBF.blocks Source code
.nsRBF.deriv Source code
.nsRBF.deriv2 Source code
.optim_dyn Source code
.optim_dyn_gradients Source code
.optim_exp Source code
.optim_exp_gradients Source code
.optim_exp_sample Source code
.optim_exp_sample_gradients Source code
.optim_fit_dyn Source code
.optim_fit_dyn_gradients Source code
.optim_stat Source code
.optim_stat_gradients Source code
.optimize_dynamic Source code
.optimize_expected Source code
.optimize_static Source code
.plotls Source code
.randparams Source code
.triangular Source code
.uniform Source code
gpr1sample Man page Source code
gpr2sample Man page Source code
gpr_posterior Man page Source code
gpsimple Man page Source code
gradientfuncs Source code
nsgp Man page
nsgp-package Man page
plot.gp Man page Source code
plot.gppack Man page Source code
plot.gpsimple Man page Source code
plotdistr Source code
print.gp Man page Source code
print.gppack Man page Source code
print.gpsimple Man page Source code
sample Source code Source code
sample.gp Source code
sample.gpsimple Source code
sigmalower Source code Source code
sigmalower.gp Source code
sigmalower.gpsimple Source code
sigmaupper Source code Source code
sigmaupper.gp Source code
sigmaupper.gpsimple Source code
simgp_clust Source code
simulategp Man page Source code
simulategp.perturbed Man page Source code
summary.gp Man page Source code
summary.gppack Man page Source code
summary.gpsimple Man page Source code
toydata Man page
toygps Man page
nsgp documentation built on May 2, 2019, 9:19 a.m.