OneTwo {LBI} | R Documentation |
Likelihood Ratio Test for One group vs Two group gaussian mixture model
Description
With a given vector, it performs likelihood ratio test which model - one or two group - is better.
Usage
OneTwo(x, alpha=0.05)
Arguments
x |
a vector of numbers |
alpha |
alpha value for type I error, significance level |
Details
It performs likelihood ratio test using both F distribution and Chi-square distribution (by Wilks' theorem).
Value
Estimate |
n, Mean, SD for each group assumption and prior probability of each group in two group model |
Delta |
delta number of parameters and log-likelihoods |
Statistic |
Statistics from both the F distribution and Chi-square distribtuion. Cutoff is in terms of log-likelihood not the statistic. |
Author(s)
Kyun-Seop Bae k@acr.kr
Examples
OneTwo(c(7, 5, 17, 13, 16, 5, 7, 3, 8, 10, 8, 14, 14, 11, 14, 17, 2, 12, 15, 19))
OneTwo(c(5, 3, 0, 6, 5, 2, 6, 6, 4, 4, 15, 13, 18, 18, 19, 14, 19, 13, 19, 18))
[Package LBI version 0.1.2 Index]