# testCox: Test the Cox model computation for the TBF approach

## Description

Test the Cox model computation for the TBF approach

## Usage

testCox(
survTimes,
censInd,
offsets = rep.int(0, length(survTimes)),
X,
useCppCode = FALSE
)

## Arguments

censInd

the logical censoring indicator (`TRUE`

= observed,
`FALSE`

= censored survival times)

offsets

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)

X

the design matrix, *without* the intercept 1's!, with at least one
column

useCppCode

use the C++ code? (default) otherwise the R-function
`coxph`

is used

## Value

a list with the coefficient estimates (`betas`

), the covariance
matrix estimate (`cov`

) and the residual deviance (`deviance`

).