Function that simulates response from Cox model with Weibull baseline hazard:

Function that simulates response from Cox model with Weibull baseline hazard:

Usage

simulWeib(N, lambda0, rho, lp)

Arguments

N

sample size

lambda0

baseline hazard scale parameter

rho

baseline hazard shape parameter

lp

linear predictor

Value

survival object with simulated event times under mild censoring

Examples

# Simulate 10 Gaussian covariate predictors:
X <- generate_X(n=100, p=10, p_b=0, cov_type="cov_equi", rho=0.2)

# create linear predictor with first 5 beta-coefficients = 1 (all other zero)
lp <- generate_lp(X, p_nn = 5, a=1)

# Simulate from Weibull hazard with with baseline hazard h0(t) = lambda*rho*t^(rho-1)
# and linear predictor, whose first 3 coefficients are non-zero:
y <- simulWeib(N=nrow(X), lambda0=0.01, rho=1, lp=lp)