test_ditrunc_elife {longevity} | R Documentation |
Likelihood ratio test for doubly interval truncated data
Description
This function fits separate models for each distinct value of covariates and computes a likelihood ratio test to test whether there are significant differences between groups.
Usage
test_ditrunc_elife(
time,
covariate,
thresh = 0,
ltrunc1 = NULL,
rtrunc1 = NULL,
ltrunc2 = NULL,
rtrunc2 = NULL,
family = c("exp", "gp", "gomp", "gompmake", "weibull", "extgp", "extweibull", "perks",
"beard", "perksmake", "beardmake"),
weights = rep(1, length(time)),
arguments = NULL,
...
)
Arguments
time |
excess time of the event of follow-up time, depending on the value of event |
covariate |
vector of factors, logical or integer whose distinct values are |
thresh |
vector of thresholds |
family |
string; choice of parametric family |
weights |
weights for observations |
arguments |
a named list specifying default arguments of the function that are common to all |
... |
additional arguments for optimization, currently ignored. |
Value
a list with elements
-
stat
: likelihood ratio statistic -
df
: degrees of freedom -
pval
: the p-value obtained from the asymptotic chi-square approximation.
[Package longevity version 1.2.1 Index]