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mets (version 1.1.1)

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). 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).

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Version

Install

install.packages('mets')

Monthly Downloads

19,799

Version

1.1.1

License

GPL (>= 2)

Maintainer

Klaus Holst

Last Published

May 29th, 2015

Functions in mets (1.1.1)

twinsim

Simulate twin data
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.
cor.cif

Cross-odds-ratio, OR or RR risk regression for competing risks
fast.approx

Fast approximation
Event

Event history object
concordance

Concordance Computes concordance and casewise concordance
ipw

Inverse Probability of Censoring Weights
summary.cor

Summary for dependence models for competing risks
mena

Menarche data set
Grandom.cif

Additive Random effects model for competing risks data for polygenetic modelling
bicomprisk

Estimation of concordance in bivariate competing risks data
phreg

Fast Cox PH regression
random.cif

Random effects model for competing risks data
twin.clustertrunc

Estimation of twostage model with cluster truncation in bivariate situation
npc

For internal use
divide.conquer

Split a data set and run function
twinbmi

BMI data set
printcasewisetest

prints Concordance test
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.
back2timereg

Convert to timereg object
eventpois

Extract survival estimates from lifetable analysis
ipw2

Inverse Probability of Censoring Weights
biprobit

Bivariate Probit model
multcif

Multivariate Cumulative Incidence Function example data set
tetrachoric

Estimate parameters from odds-ratio
bptwin

Liability model for twin data
twinstut

Stutter data set
Dbvn

Derivatives of the bivariate normal cumulative distribution function
simAalenFrailty

Simulate from the Aalen Frailty model
aalenfrailty

Aalen frailty model
casewise

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

Simulate from the Clayton-Oakes frailty model
casewise.test

Estimates the casewise concordance based on Concordance and marginal estimate using timereg and performs test for independence
mets-package

Analysis of Multivariate Events
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.
test.conc

Concordance test Compares two concordance estimates
fast.pattern

Fast pattern
fast.reshape

Fast reshape Simple reshape/tranpose of data
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.
simClaytonOakes

Simulate from the Clayton-Oakes frailty model
np

np data set
ClaytonOakes

Clayton-Oakes model with piece-wise constant hazards
dermalridges

Dermal ridges data (families)
migr

Migraine data
divide.conquer.timereg

Split a data set and run function from timereg and aggregate
twinlm

Classic twin model for quantitative traits
blocksample

Block sampling
prt

Prostate data set
lifetable.matrix

Life table
plack.cif

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

Dermal ridges data (monozygotic twins)