LRT {blm} | R Documentation |
Performs likelihood-ratio test for lexpit and BLM models of cohort data
Description
Computes the likelihood ratio test for the significance of the specified variable in a lexpit or BLM model fit to cohort data. This method is only valid for study designs that use simple random sampling.
Usage
LRT(object, var)
Arguments
object |
a model of the |
var |
character name of |
Value
A matrix with the LRT statistic and p-value for the test of the significance of the specified variable given all other variables in the model.
Author(s)
S. Kovalchik s.a.kovalchik@gmail.com
See Also
Examples
cohort <- data.frame(
x1 = runif(500),
x2 = runif(500)
)
cohort$event <- rbinom(n=nrow(cohort),size=1,
prob=0.25+0.1*cohort$x1+.1*cohort$x2)
fit <- blm(event~x1+x2, data=cohort)
summary(fit)
LRT(fit, "x1")
LRT(fit, "x2")
[Package blm version 2022.0.0.1 Index]