README.md

In lfernandezpiana/idld: Integrated Dual Local Depth

idld

The goal of idld is to provide the necesary functions to calculate the integrated local dual depth in multivariate and functional data cases.

Installation

You can install the released version of idld from GITHUB with:

install.packages("remotes")
remotes::install_github("lfernandezpiana/idld")

Multivariate Example

This is a basic multivariate example in (\mathbb{R}^2) which shows how to use the idld_m function to calculate the integrated dual local depth. In the plot below, blue points represents the local depth central region.

library(idld)
library(mvnfast)
X = rmvn(90,  c(-2,-2), sigma=diag(rep(1,2)))
Y = rmvn(110, c(2,2), sigma=diag(rep(1,2)))
Z = rmvn(150, c(4,-4), sigma = rbind(c(2,0.8),c(0.8,1)))
W = rbind(X,Y,Z)
local_depth = idld_m(W, W ,0.3, 500, TRUE)
#> [1] "Generating random projections"
#> [1] "Procesing univariated depths"
plot(W, pch=20)
local_depth_center_region = which(local_depth>quantile(local_depth,0.9))
points(W[local_depth_center_region,], col="blue", pch=20)

lfernandezpiana/idld documentation built on Feb. 17, 2024, 11:42 p.m.