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CDC Statistics

Jin Zhu

Installation

You can install the released version of cdcsis from CRAN with:

install.packages("cdcsis")

Example

Feature screening

This is a basic example which shows you how to pick out the important feature from high-dimensional dataset:

library(cdcsis)
set.seed(1)
num <- 100
p <- 1000
x <- matrix(rnorm(num * p), nrow = num, ncol = p)
z <- rnorm(num)
y <- 3*x[, 1] + 1.5*x[, 2] + 4*z*x[, 5] + rnorm(num)
res <- cdcsis(x, y, z)
head(res[["ix"]], n = 10)

cdcsis function successfully selects the informative variables from 1000 features pool.

[1]   1   5   2 628  17  87 912 903 395 630

License

GPL (>= 2)

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Install

install.packages('cdcsis')

Monthly Downloads

302

Version

2.0.5

License

GPL (>= 2)

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Last Published

August 23rd, 2024

Functions in cdcsis (2.0.5)

cdcsis-package

Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference
cdcsis

Conditional Distance Correlation Sure Independence Screening (CDC-SIS)
cdcov

Conditional Distance Covariance/Correlation Statistics
cdcov.test

Conditional Distance Covariance Independence Test