Modeling physical computer codes with functional outputs using clustering and dimensionality reduction

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Documentation for package ‘modelcf’ version 2.1

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checkParts Comparing partitions (clustering)
clustering Main clustering functions
countPart Comparing partitions (clustering)
datacf Two artificial data sets
dataIn Two artificial data sets
dataOut1 Two artificial data sets
dataOut2 Two artificial data sets
dest_clust Dimension estimation
dest_fara Dimension estimation
dest_levi Dimension estimation
dest_PCA Dimension estimation
dest_pett Dimension estimation
dest_rgrl Dimension estimation
dest_RML Dimension estimation
dest_sliv Dimension estimation
dest_unbl Dimension estimation
dimension Dimension estimation
findK_gtclusts Main clustering functions
fmetam Build and validate the functional outputs model
fmetam_1cl Build and validate the functional outputs model
fm_resids Build and validate the functional outputs model
fperrors Empirical error estimators
fusion_smcl Rearrangement of clusters
getcoefc Mixing functional models
getNI Top-level neighborhoods functions
gtclusts Main clustering functions
gtclusts_inout Main clustering functions
gt_cxcomps Functions around graph conenxity
km_dists k-means like functions
km_PCA k-means like functions
learnClassif Building a classifier
learnRegress Statistical learning (regression)
linear_rec Around orthonormal bases
linEmb Around orthonormal bases
LPcaML Local PCA Manifold Learning
LPcaML_rec Local PCA Manifold Learning
mergeToK Rearrangement of clusters
mixpredf Mixing functional models
modelcf package modelcf
neighbs_RML Top-level neighborhoods functions
nfoldcv Build and validate the functional outputs model
nlin_adaptRec Dimensionality reduction and associate reconstruction
nlin_redDim Dimensionality reduction and associate reconstruction
optimParams_classif Building a classifier
optimParams_regress Statistical learning (regression)
phclust Main clustering functions
plotC Printing and plotting utilitiy functions
plotPts Printing and plotting utilitiy functions
predict.modelcf Predictions for some models
predictClassif Predictions for some models
predictRegress Predictions for some models
print.modelcf Printing and plotting utilitiy functions
reordering Rearrangement of clusters
RML Riemannian Manifold Learning
RML_rec Riemannian Manifold Learning
testConnexity Functions around graph conenxity
varInfo Comparing partitions (clustering)