Man pages for delt
Estimation of Multivariate Densities Using Adaptive Partitions
| cluster.lst | Assigns labels to data points |
| delt-package | Estimation of Multivariate Densities Using Adaptive... |
| 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... |
| 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... |
| plotparti | Draws a partition |
| prune | Prepares for pruning an overfitting evaluation tree |
| scaspa | Finds the number of modes of histograms which are obtained by... |
| supp | Returns the bounding box of observations |
