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).

Analysis of Multivariate Event Times

package-ubuntu-20.04-r-4.0.5#cran#mets-1.2.8.1

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

<p>Klaus K. Holst and Thomas Scheike
</p>

package-ubuntu-20.04-r-4.0.5#cran#mets-1.2.8.1#docs#mets-package

mets-package

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mets

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