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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).

copied from cf-staging / r-mets

Installers

  • linux-64 v1.3.3
  • osx-64 v1.3.3
  • win-64 v1.3.3

conda install

To install this package run one of the following:
conda install conda-forge::r-mets

Description


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