pchisqC {poliscidata} | R Documentation |
Comparing Logistic Regression Models with Chi-Squared Test
Description
Comparing Logistic Regression Models with Chi-Squared Test
Usage
pchisqC(reduced, full, digits = 3)
Arguments
reduced |
The reduced logisitic regression model as an object. This is model with fewer independent variables. |
full |
The full logisitic regression model as an object. This is model with more independent variables. |
digits |
The number of digits to display after decimal point, default is 3. |
Value
The chi-squared statistic, df, and p-value as a vector of numbers to test null hypothesis that full model no better than reduced model.
Examples
library(poliscidata)
obama_vote_model_reduced <- svyglm(obama_vote ~ ft_dem + white, design=nesD,
family="quasibinomial")
obama_vote_model_full <- svyglm(obama_vote ~ ft_dem + white + (owngun_owngun=="1. Yes"),
design=nesD, family="quasibinomial")
pchisqC(obama_vote_model_reduced, obama_vote_model_full)
[Package poliscidata version 2.3.0 Index]