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>Based on nation-wide questionnaire answers from 33,317 Danish twins
</p>

<p>tvparnr: twin-pair id
zyg: zygosity, MZ:=mz, DZ(same sex):=dz, DZ(opposite sex):=os
stutter: stutter status (yes/no)
age: age
nr: number within twin-pair
</p>

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

twinstut

Description

Format

mets

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