vuong_test: vuong_test

View source: R/vuong_test.R

vuong_testR Documentation

vuong_test

Description

Vuong's test

This function performs Vuong's test, a likelihood ratio test for model selection and non-nested hypotheses. This function is for model selection between zero-inflated Poisson model and zero-inflated negative binomial model.

Usage

vuong_test(phenodata)

Arguments

phenodata

a data frame containing family and individual IDs for all objects as well as zero-inflated counts as a phenotype and a set of covariates. Each row represents a different individual. The first two columns are Family ID (FID) and Individual ID (IID) respectively. There must be one and only one phenotype in the third column and the phenotype have to be zero-inflated count data which should be non-negative integers, e.g. neuritic plaque counts. Each of the rest of columns represents a different covariate, e.g. age, sex, etc.

Value

nothing returned, prints a table of 3 test statistics and p values, and exits silently.


ZIM4rv documentation built on April 3, 2025, 7:39 p.m.