multcif

Multivariate Cumulative Incidence Function example data set

data

Implementation of various statistical models for multivariate
    event history data. Including multivariate cumulative incidence models, and
    bivariate random effects probit models (Liability models). 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).

multcif: Multivariate Cumulative Incidence Function example data set

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