Test the Cox model computation for the TBF approach
testCox(
survTimes,
censInd,
offsets = rep.int(0, length(survTimes)),
X,
useCppCode = FALSE
)
the survival times
the logical censoring indicator (TRUE
= observed,
FALSE
= censored survival times)
known component to be included in the linear predictor during fitting. This must be a numeric vector of length equal to the number of cases (if not provided, a vector of zeroes)
the design matrix, *without* the intercept 1's!, with at least one column
use the C++ code? (default) otherwise the R-function
coxph
is used
a list with the coefficient estimates (betas
), the covariance
matrix estimate (cov
) and the residual deviance (deviance
).