LP.XY {QDComparison} | R Documentation |
A function to compute LP comoments, LP coefficients, LPINFOR test statistic, and a p-value of distribution equality
Description
This function computes LP comoments, LP coefficients, LPINFOR test statistic, and the corresponding p-value of for testing equality of two distributions.
Usage
LP.XY(x,y,m=6,smooth="TRUE",method="BIC")
Arguments
x |
Indicator variable denoting group membership |
y |
Response variable with measured values |
m |
Number of LP comoments and LP coefficients to be calculated, default: 6 |
smooth |
If smoothing should be applied, default: TRUE |
method |
Smoothing method, default: BIC |
Value
A list containing:
LP.comoment.0 |
LP comoments, conditioned on X=0 |
LP.coef.0 |
LP coefficients, conditioned on X=0 |
LP.comoment.1 |
LP comoments, conditioned on X=1 |
LP.coef.1 |
LP coefficients, conditioned on X=1 |
LPINFOR |
Test statistics value |
pval |
The p-value for testing equality of two distributions F0=F1 |
Author(s)
Subhadeep Mukhopadhyay
David Jungreis
References
Jungreis, D., (2019) "Unification of Continuous, Discrete, and Mixed Distribution Two-Sample Testing with Inferences in the Quantile Domain"
Mukhopadhyay, S. and Parzen, E. (2014), "LP Approach to Statistical Modeling", arXiv:1405.2601.
Examples
x <- c(rep(0,200),rep(1,200))
y <- c(rnorm(200,0,1),rnorm(200,1,1))
L <- LP.XY(x,y)
L$pval