CCbinomial.twostage

ace.family.design

alpha2kendall

alpha2spear

ascertained.pairs

coarse.clust

coefmat

concordance.twin.ace

concordance.twostage

corsim.prostate

corsim.prostate.random

fast.cluster

faster.reshape

folds

force.same.cens

grouptable

ilap

jumptimes

kendall.ClaytonOakes.twin.ace

kendall.normal.twin.ace

loglikMVN

make.pairwise.design

make.pairwise.design.competing

matplot.mets.twostage

nonparcuminc

object.defined

p11.binomial.twostage.RV

pbvn

piecewise.data

piecewise.twostage

plotcr

pmvn

predictPairPlack

scoreMVN

simBinFam

simBinFam2

simBinPlack

simClaytonOakes.family.ace

simClaytonOakes.twin.ace

simCompete.simple

simCompete.twin.ace

simCox

simSurvFam

simbinClaytonOakes.family.ace

simbinClaytonOakes.pairs

simbinClaytonOakes.twin.ace

simnordic

simnordic.random

surv.boxarea

twin.polygen.design

twostage.fullse

utilities

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

npc: For internal use

Description

Arguments