Derivatives of the bivariate normal cumulative distribution function
Multivariate Cumulative Incidence Function example data set
Fits Clayton-Oakes or bivariate Plackett (OR) models for binary data
using marginals that are on logistic form.
If clusters contain more than two times, the algoritm uses a compososite likelihood
based on all pairwise bivariate models.
Aalen frailty model
Cross-odds-ratio, OR or RR risk regression for competing risks
Estimates the casewise concordance based on Concordance and marginal estimate using prodlim but no testing
BMI data set
Fast approximation
Estimation of concordance in bivariate competing risks data
For internal use
Menarche data set
Concordance test Compares two concordance estimates
Fits two-stage model for describing depdendence in survival data
using marginals that are on cox or aalen form using the twostage funcion, but
call is different and easier and the data manipulation build into the function.
Useful in particular for family design data.
Fast pattern
Clayton-Oakes model with piece-wise constant hazards
np data set
Estimates the casewise concordance based on Concordance and marginal estimate using timereg and performs test for independence
Simulate from the Clayton-Oakes frailty model
Fast Cox PH regression
Stutter data set
Classic twin model for quantitative traits
Dermal ridges data (monozygotic twins)
plack Computes concordance for or.cif based model, that is Plackett random effects model
prints Concordance test
Liability model for twin data
Concordance Computes concordance and probandwise concordance
Summary for dependence models for competing risks
Fits two-stage binomial for describing depdendence in binomial data
using marginals that are on logistic form using the binomial.twostage funcion, but
call is different and easier and the data manipulation is build into the function.
Useful in particular for family design data.
Fast reshape
Simple reshape/tranpose of data
Prostate data set
Random effects model for competing risks data
Analysis of Multivariate Events
Dermal ridges data (families)
Life table
Simulate from the Clayton-Oakes frailty model
Additive Random effects model for competing risks data for polygenetic modelling
Simulate from the Aalen Frailty model
Simulate twin data
Migraine data
Convert to timereg object
Fits Clayton-Oakes or bivariate Plackett models for bivariate survival data
using marginals that are on Cox or addtive form.
If clusters contain more than two times, the algoritm uses a compososite likelihood
based on the pairwise bivariate models.
Liability model for twin data
Inverse Probability of Censoring Weights