Csimple {MCARtest} | R Documentation |
Calculate the critical value for our simple test
Description
Calculate a simple critical value for an MCAR test using only knowledge of the set of observation patterns and the joint observation space.
Usage
Csimple(nS, bS, M, alpha)
Arguments
nS |
A vector of sample sizes, with each entry corresponding to an observation pattern. |
bS |
A binary matrix specifying the set of observation patterns. Each row encodes a single pattern. |
M |
A vector of positive integers giving the alphabet sizes of the discrete variables. |
alpha |
The desired significance level |
Value
The universal critical value defined in Berrett and Samworth (2023).
References
Berrett TB, Samworth RJ (2023). “Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility.” Ann. Statist., 51, 2170–2193.
Examples
bS=matrix(c(1,1,0, 1,0,1, 0,1,1),byrow=TRUE,ncol=3)
r=4; s=3
M=c(r,s,2)
Csimple(rep(1000,3),bS,M,0.05)
[Package MCARtest version 1.2.1 Index]