This function helps the parametrizations of covariates and covariate coeffcients when users specify a general hazard rate function in function simEvent and simEventData. It applies the specified function (or the built-in option) FUN to the \(i_{th}\) row of the covariate matrix z and the \(i_{th}\) row of the coefficient matrix, iteratively, for \(i\) from one to the number of rows of the covariate matrix z.

parametrize(z, zCoef, FUN = c("exponential", "linear", "excess"), ...)



A numeric matrix, each row of which represents the covariate vector at one perticular time point.


A numeric matrix, each row of which represents the covariate coeffcient vector at one perticular time point.


The parametrization of the model parameter(s) with covariates and covariate coefficients. The built-in options include "exponential", "linear", "excess" for parametrization in the exponential, linear, excess relative risk model form, respectively. It can also be a function that at least has argument z and zCoef for incorporating the covariates and covariate coefficients into the model. The user-specified function should expect that both the input z and zCoef are numeric vectors and return a numeric value (or can be convected to a numeric value by as.numeric).


Other arguments that can be passed to the function FUN.


A numeric vector.

See also



## time points timeVec <- c(0.5, 2) ## time-variant covariates zMat <- cbind(0.5, ifelse(timeVec > 1, 1, 0)) ## time-varying coefficients zCoefMat <- cbind(sin(timeVec), timeVec) ## the following three ways are equivalent for the exponential form, ## where the first one (using the built-in option) has the best performance parametrize(zMat, zCoefMat, FUN = "exponential")
#> [1] 1.270884 11.642343
parametrize(zMat, zCoefMat, function(z, zCoef) exp(z %*% zCoef))
#> [1] 1.270884 11.642343
sapply(1 : 2, function(i) as.numeric(exp(zMat[i, ] %*% zCoefMat[i, ])))
#> [1] 1.270884 11.642343