Man pages for gbonte/gbcode
Code from the handbook "Statistical foundations of machine learning"

AA Santa Fe time series
AUCAUC
bagging.predWrapper on lazy learning algoritmhs for regression and...
BiasVarDemo of bias/variance tradeoff
cmimcmim
constlooEmbedding of multivariate time series
cor2I2correlation to mutual information
dist2Returns matrix of distances between two matrices with same...
forwardSelforwardSel
hyperghypergeometric pvalue
imputeimpute
is.element.listis.element.list
KNN.acfKNN.acf
KNN.acf.linKNN.acf.lin
KNN.multioutputKNN.multioutput
KNN.plsKNN.pls
lazy.predWrapper on lazy learning algoritmhs for regression and...
linearFsellinearFsel
lin.plslin.pls
MakeEmbeddedEmbedding of multivariate time series
MASEMean Absolute scaled error
mimr-open-paren-minimum-interaction-maximum-relevance-close-parenmimr
mrmrmrmr
multiplestepAheadmultiplestepAhead
NN5NN5 time series
pcaPCA compression
pca.svdPCA compression by SVD decomposition
pcor1partial correlation
plotFPlot the F density and cumulative distribution
plotStuPlot the Student density and cumulative distribution
predWrapper on learning algoritmhs for regression and...
rankregrrankregr
rankrhorankrho
regrDatasetGenerator of nonlinear regression dataset
regrlinLinear regression with PRESS leave one out estimate
remNARemove NA from a time series by interpolation
rfrankrfrank
rlsRecursive least-squares step with forgetting factor
SMAPESymmetric mean absolute percentage error
var2Hvariance to entropy
which.element.listwhich.element.list
which.subelement.listwhich.subelement.list
gbonte/gbcode documentation built on Aug. 16, 2018, 5:14 p.m.