simJM: Function to simulate a data structure suitable for joint...

In cgriesbach/JMboostE: Boosting Joint Models for Longitudinal and Time-to-Event Outcomes

Description

Function to simulate a data structure suitable for joint modeling!

Usage

simJM(n, n_i, betal = 0, betas = 0, betat = 0, betals = 0, int,
  alpha, lambda, sigma2, noninfl = 0, noninfs = 0, noninfls = 0,
  high.dim = FALSE)

Arguments

n	number of individuals
n_i	initial number of longitudinal measurements per individual
betal	coefficient vector for the longitudinal model
betas	coefficient vector for the survival model
betat	value for the time effect
betals	coefficient vector for the shared model
int	value for the intercept
alpha	value for the association parameter
lambda	value for the baseline hazard
sigma2	value for the model error
noninfi	number of additional, non-informative covariates per predictor, i = l, s, ls

cgriesbach/JMboostE documentation built on May 6, 2019, 6:57 p.m.