The purpose of this function is to efficiently generate indicators for whether or not an observation in simulated duration
data is right-censored. In this case, whether or not an observation is right-censored depends on the covariates in the data.
This function randomly draws new coefficients, one for every column of x
, from the normal distribution with mean 0 and
standard deviation of 0.1. It uses these new coefficients to build a linear predictor, to which is added a disturbance term which
is also drawn from N(0,.1). A fixed proportion, given by censor
, of the observations with the highest values of this linear
predictor are set to be TRUE
and the others are set to FALSE
.