JMboost: Main function to carry out boosting for a joint model!

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

Description

Main function to carry out boosting for a joint model!

Usage

JMboost(y, Xl = NULL, Xs = NULL, Xls = NULL, T_long, T_surv, delta,
  id, alpha = 1, lambda = 1, time.effect = TRUE, mstop_l, mstop_s,
  mstop_ls, nyl = 0.1, nys = 0.3, nyls = 0.1, nyr = 0.1)

Arguments

y	vector containing the longitudinal outcome
Xl	design matrix for the longitudinal part containing time-varying covariates
Xs	design matrix for the survival part containing one measurement per individual and covariate
Xls	design matrix for the shared part containing time-independent covariates (duplicated values per individual)
T_long	longitudinal time points
T_surv	observed survival times
delta	censoring indicator
id	id vector labeling the longitudinal outcome/design matrices with corresponding individuals
alpha	starting value for the association parameter
lambda	starting value for the baseline hazard
time.effect	logical, whether a shared time.effect shall be included
int	starting value for the intercept in the longitudinal submodel
mstop_i	number of boosting iterations per boosting step, i = l, s, ls
nyi	step length per boosting step, i = l, s, ls

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