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mets (version 0.1-12)

Analysis of Multivariate Event Times

Description

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

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Install

install.packages('mets')

Monthly Downloads

12,550

Version

0.1-12

License

GPL (>= 2)

Maintainer

Klaus K Holst

Last Published

November 20th, 2012

Functions in mets (0.1-12)

twinsim

Simulate twin data
twinstut

stutter data set
np

np data set
aalenfrailty

Aalen frailty model
ClaytonOakes

Clayton-Oakes model with piece-wise constant hazards
bicomprisk

Estimation of concordance in bivariate competing risks data
ipw

Inverse Probability of Censoring Weights
multcif

multcif data set
mets-package

Analysis of Multivariate Events
prt

Prostate data set
bptwin

Liability model for twin data
printcasewisetest

prints Concordance test
cor.cif

Cross-odds-ratio, OR or RR risk regression for competing risks
simClaytonOakes

Simulate from the Clayton-Oakes frailty model
twinbmi

BMI data set
fastapprox

Fast approximation
twostage

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.
casewise

Estimates the casewise concordance based on Concordance and marginal estimate using prodlim but no testing
back2timereg

Convert to timereg object
casewise.test

Estimates the casewise concordance based on Concordance and marginal estimate using timereg and performs test for independence
summary.cor

Summary for dependence models for competing risks
concordance

Concordance Computes concordance and probandwise concordance
plack.cif

plack Computes concordance for or.cif based model, that is Plackett random effects model
test.conc

Concordance test Compares two concordance estimates
twinlm

Classic twin model for quantitative traits
Dbvn

Derivatives of the bivariate normal cumulative distribution function
random.cif

Random effects model for competing risks data
npc

For internal use
Grandom.cif

Additive Random effects model for competing risks data for polygenetic modelling