Concordancejmcs: Concordance for joint models

In FastJM: Semi-Parametric Joint Modeling of Longitudinal and Survival Data

Concordance for joint models

Description

Concordance for joint models

Usage

Concordancejmcs(
  seed = 100,
  object,
  opt = "nlminb",
  n.cv = 3,
  maxiter = 10000,
  initial.optimizer = "BFGS",
  initial.para = TRUE,
  ...
)

Arguments

seed	a numeric value of seed to be specified for cross validation.
object	object of class 'jmcs'.
opt	Optimization method to fit a linear mixed effects model, either nlminb (default) or optim.
n.cv	number of folds for cross validation. Default is 3.
maxiter	the maximum number of iterations of the EM algorithm that the function will perform. Default is 10000.
initial.optimizer	Method for numerical optimization to be used. Default is BFGS.
initial.para	Initial guess of parameters for cross validation. Default is FALSE.
...	Further arguments passed to or from other methods.

Value

a list of matrices with conditional probabilities for subjects.

Author(s)

Shanpeng Li [e-mail]

See Also

jmcs

FastJM documentation built on March 28, 2026, 5:07 p.m.