Estimation of Multivariate Densities Using Adaptive Partitions


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Documentation for package ‘delt’ version 0.8.2

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delt-package Estimation of Multivariate Densities Using Adaptive Partitions
cluster.lst Assigns labels to data points
delt Estimation of Multivariate Densities Using Adaptive Partitions
densplit Calculation of an overfitting histogram
eval.bagg Returns a bootstrap aggregation of adaptive histograms
eval.cart Calculates a CART histogram
eval.greedy Returns a greedy histogram
eval.pick Returns a subtree of an evaluation tree
eval.stage Returns a stagewise minimization estimate
eval.stage.gauss Returns a 1D Gaussian mixture density estimate
intpcf Calculates the integral of a piecewise constant function
lefrig2par Transforms an evaluation tree so that it can be plotted with the "plottree" function of package "denpro"
lstseq.bagg Calculates a scale of bootstrap aggregated histograms
lstseq.cart Calculates a scale of CART histograms
lstseq.greedy Calculates a scale of greedy histograms
makebina Tranforms and evaluation tree to the tree object of R
partition Finds the partition generated by an evaluation tree
pcf.greedy.kernel Computes a discretized kernel estimator with an adaptive partition
plotparti Draws a partition
prune Prepares for pruning an overfitting evaluation tree
scaspa Finds the number of modes of histograms which are obtained by pruning an overfitting histogram
supp Returns the bounding box of observations