API for rudazhang/plmr
Probabilistic Learning on Manifolds in R

Global functions
E Man page
LOOCVMLBandwidth Man page
LOOCVParzenANLL Man page
MLBandwidth Man page
MParzenANLL Man page
MParzenRadiusTrain Man page Source code
MParzenSample Man page
MParzenSampleNoNoise Man page
MParzenTest Man page Source code
MParzenTrain Man page Source code
MeanShift Man page Source code
NBB Man page Source code
ParzenANLL Man page
ParzenTest Man page
SmoothFrame Man page Source code
affineTransform Man page Source code
bootStatsMean Man page Source code
cartesian2spherical Man page Source code
dgpParabola Man page Source code
drLogPNoisyCircle Man page
estimateRidge Man page Source code
expectation Man page
gd Man page Source code
logPNoisyCircle Man page
manifoldLearn Man page Source code
manifoldSample Man page Source code
mindist Man page Source code
mode1d Man page Source code
norm2 Man page Source code
outlier Man page Source code
pmesh Man page Source code
preprocess Man page Source code
rCircularChi Man page
rCircularGauss Man page
radial Man page
revpredict Man page Source code
rhelix1 Man page Source code
rhelix2 Man page Source code
rsphere Man page
rtorus Man page
rtrefoil Man page Source code
runifcircle Man page Source code
runifsphere Man page
scms Man page Source code
scmsMParzen Man page Source code
silverman Man page Source code
spherical2cartesian Man page Source code
rudazhang/plmr documentation built on Aug. 30, 2021, 5:43 p.m.