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>Self-reported BMI-values on 11,411 subjects
</p>

<p>tvparnr: twin id
bmi: BMI (m/kg^2)
age: Age
gender: (male/female)
zyg: zygosity, MZ:=mz, DZ(same sex):=dz, DZ(opposite sex):=os
</p>

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

twinbmi

Description

Format

mets

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