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mets (version 1.2)

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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Install

install.packages('mets')

Monthly Downloads

12,550

Version

1.2

License

GPL (>= 2)

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Repository

https://github.com/kkholst/mets

Maintainer

Klaus Holst

Last Published

February 4th, 2017

Functions in mets (1.2)

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

Liability model for twin data

Convert to timereg object

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

Estimation of concordance in bivariate competing risks data

Finds subjects related to same cluster

Bivariate Probit model

Aalen frailty model

Clayton-Oakes model with piece-wise constant hazards

Derivatives of the bivariate normal cumulative distribution function

Concordance Computes concordance and casewise concordance

aggregating for for data frames

summary, tables, and correlations for data frames

Calculate summary statistics grouped by

Cutting, sorting, rm (removing), rename for data frames

Split a data set and run function

divide.conquer.timereg

Split a data set and run function from timereg and aggregate

Dermal ridges data (families)

Dermal ridges data (monozygotic twins)

relev levels for data frames

Sort data frame

Extract survival estimates from lifetable analysis

Relative risk for additive gamma model

familycluster.index

Finds all pairs within a cluster (family)

easy.survival.twostage

Wrapper for easy fitting of Clayton-Oakes or bivariate Plackett models for bivariate survival data

tables for data frames

list, head, print, tail

easy.binomial.twostage

Fits two-stage binomial for describing depdendence in binomial data

lifetable.matrix

familyclusterWithProbands.index

Finds all pairs within a cluster (famly) with the proband (case/control)

Inverse Probability of Censoring Weights

Inverse Probability of Censoring Weights

Fast approximation

For internal use

Menarche data set

Fast Cox PH regression

Analysis of Multivariate Events

Set global options for

simAalenFrailty

Simulate from the Aalen Frailty model

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

Multivariate Cumulative Incidence Function example data set

Prostate data set

printcasewisetest

prints Concordance test

twin.clustertrunc

Estimation of twostage model with cluster truncation in bivariate situation

simClaytonOakesWei

Simulate from the Clayton-Oakes frailty model

simClaytonOakes

Simulate from the Clayton-Oakes frailty model

Estimate parameters from odds-ratio

Simulate twin data

Classic twin model for quantitative traits

Stutter data set

Summary for dependence models for competing risks

Concordance test Compares two concordance estimates

binomial.twostage

Fits Clayton-Oakes or bivariate Plackett (OR) models for binary data

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

Additive Random effects model for competing risks data for polygenetic modelling

Random effects model for competing risks data

survival.twostage

Twostage survival model for multivariate survival data