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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-post-staging / r-mets
Type Size Name Uploaded Downloads Labels
conda 5.0 MB | osx-64/r-mets-1.3.8-r44h1b801ff_0.conda  2 months and 29 days ago 41 main
conda 5.0 MB | win-64/r-mets-1.3.8-r45hd22d4b9_0.conda  2 months and 29 days ago 44 main
conda 5.0 MB | win-64/r-mets-1.3.8-r44hd22d4b9_0.conda  2 months and 29 days ago 45 main
conda 5.0 MB | osx-64/r-mets-1.3.8-r45h1b801ff_0.conda  2 months and 29 days ago 44 main
conda 5.0 MB | linux-64/r-mets-1.3.8-r44h2ddecb4_0.conda  2 months and 29 days ago 302 main
conda 5.0 MB | linux-64/r-mets-1.3.8-r45h2ddecb4_0.conda  2 months and 29 days ago 311 main

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