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mets (version 0.2.4)

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

19,799

Version

0.2.4

License

GPL (>= 2)

Maintainer

Klaus K Holst

Last Published

July 12th, 2013

Functions in mets (0.2.4)

aalenfrailty

Aalen frailty model
casewise

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

Liability model for twin data
npc

For internal use
random.cif

Random effects model for competing risks data
bicomprisk

Estimation of concordance in bivariate competing risks data
np

np data set
cor.cif

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

Multivariate Cumulative Incidence Function example data set
Dbvn

Derivatives of the bivariate normal cumulative distribution function
twinbmi

BMI data set
Grandom.cif

Additive Random effects model for competing risks data for polygenetic modelling
casewise.test

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

Fast pattern
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.
printcasewisetest

prints Concordance test
mets-package

Analysis of Multivariate Events
twinsim

Simulate twin data
summary.cor

Summary for dependence models for competing risks
mena

Menarche data set (sim)
simClaytonOakes

Simulate from the Clayton-Oakes frailty model
ClaytonOakes

Clayton-Oakes model with piece-wise constant hazards
easy.binomial.twostage

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.approx

Fast approximation
twinlm

Classic twin model for quantitative traits
test.conc

Concordance test Compares two concordance estimates
ipw

Inverse Probability of Censoring Weights
back2timereg

Convert to timereg object
twinstut

Stutter data set
phreg

Fast Cox PH regression
easy.twostage

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.
migr

Migraine data
binomial.twostage

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.
concordance

Concordance Computes concordance and probandwise concordance
fast.reshape

Fast reshape Simple reshape/tranpose of data
prt

Prostate data set (sim)
plack.cif

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