Man pages for delt
Estimation of Multivariate Densities Using Adaptive Partitions

cluster.lstAssigns labels to data points
delt-packageEstimation of Multivariate Densities Using Adaptive...
densplitCalculation of an overfitting histogram
eval.baggReturns a bootstrap aggregation of adaptive histograms
eval.cartCalculates a CART histogram
eval.greedyReturns a greedy histogram
eval.pickReturns a subtree of an evaluation tree
eval.stageReturns a stagewise minimization estimate
eval.stage.gaussReturns a 1D Gaussian mixture density estimate
intpcfCalculates the integral of a piecewise constant function
lefrig2parTransforms an evaluation tree so that it can be plotted with...
lstseq.baggCalculates a scale of bootstrap aggregated histograms
lstseq.cartCalculates a scale of CART histograms
lstseq.greedyCalculates a scale of greedy histograms
makebinaTranforms and evaluation tree to the tree object of R
partitionFinds the partition generated by an evaluation tree
pcf.greedy.kernelComputes a discretized kernel estimator with an adaptive...
plotpartiDraws a partition
prunePrepares for pruning an overfitting evaluation tree
scaspaFinds the number of modes of histograms which are obtained by...
suppReturns the bounding box of observations
delt documentation built on May 2, 2019, 3:42 p.m.