concordance

Output from the cor.cif, rr.cif or or.cif function

object

cif1

Marginal cumulative incidence of other cause (cause2) if it is different from cause1

cif2

messages

Specfifies wich model that is considered if object not given.

model

Specfifies dependence parameters if object is not given.

coefs

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).

concordance: Concordance Computes concordance and casewise concordance

Description

Usage

Arguments