anova: Anova Method for Fitted Joint Models

In FastJM: Semi-Parametric Joint Modeling of Longitudinal and Survival Data

Anova Method for Fitted Joint Models

Description

Performs a likelihood ratio test between two nested joint models.

Usage

## S3 method for class 'jmcs'
anova(object, object2, digits = 4, ...)

Arguments

object	an object inheriting from class jmcs, nested in object2.
object2	an object inheriting from class jmcs.
digits	the number of significant digits to use when printing. Default is 4.
...	further arguments passed to or from other methods.

Value

A table to summarize the likelihood ratio test.

Author(s)

Shanpeng Li [e-mail]

See Also

jmcs

Examples

# Fit a joint model
fit <- jmcs(ydata = ydata, cdata = cdata, 
            long.formula = response ~ time + x1, 
            surv.formula = Surv(surv, failure_type) ~ x1 + x2, 
            random =  ~ time| ID)

fit2 <- jmcs(ydata = ydata, cdata = cdata, 
            long.formula = response ~ time + gender + x1 + race, 
            surv.formula = Surv(surv, failure_type) ~ x1 + gender + x2 + race, 
            random =  ~ time| ID)      

anova(fit, fit2)   

             

FastJM documentation built on May 29, 2024, 8:39 a.m.