msBP.nrvTrees: Nesting of the sample through the tree

In msBP: Multiscale Bernstein Polynomials for Densities

Nesting of the sample through the tree

Description

Compute the path of each subject in the binary tree of weights and returns 3 tree: the n tree, the r tree, and the v tree (see values

Usage

msBP.nrvTrees(sh, maxS = max(sh[,1]))

Arguments

sh	A matrix with 2 columns and a number of rows equal to the sample size denoting the scale and node labels of each unit
maxS	Upper bound for the scale

Value

A list containing tree objects of the class binaryTree. n is the tree containing at each node the number of subjects allocated to that node, r is the tree containing at each node the number of subjects that went right at that node, and v is the tree containing at each node the number of subjects that passed through that node.

References

Canale, A. and Dunson, D. B. (2016), "Multiscale Bernstein polynomials for densities", Statistica Sinica, 26(3), 1175-1195.

Canale, A. (2017), "msBP: An R Package to Perform Bayesian Nonparametric Inference Using Multiscale Bernstein Polynomials Mixtures". Journal of Statistical Software, 78(6), 1-19.

Examples

sh <- cbind(c(2,2,2,3,3,3,3,3,3,3), c(1,2,2,1,2,3,4,5,6,7))
nrv.trees <- msBP.nrvTrees(sh)
plot(nrv.trees$n)

msBP documentation built on Aug. 23, 2023, 1:06 a.m.