CRAN/E | mets

mets

Analysis of Multivariate Event Times

Installation

About

Implementation of various statistical models for multivariate event history data doi:10.1007/s10985-013-9244-x. Including multivariate cumulative incidence models doi:10.1002/sim.6016, and bivariate random effects probit models (Liability models) doi:10.1016/j.csda.2015.01.014. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Citation mets citation info
kkholst.github.io/mets/
Bug report File report

Key Metrics

Version 1.3.4
R ≥ 3.5
Published 2024-02-16 41 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks mets results

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Maintainer

Maintainer

Klaus K. Holst

klaus@holst.it

Authors

Klaus K. Holst

aut / cre

Thomas Scheike

aut

Material

README
NEWS
Reference manual
Package source

In Views

Survival

Vignettes

dUtility data-frame manipulations
Analysis of multivariate binomial data: family analysis
Analysis of bivariate binomial data: Twin analysis
Average treatment effect (ATE) for Competing risks and binary outcomes
Two-Stage Randomization for for Competing risks and Survival outcomes
Binomial Regression for Survival and Competing Risks Data
Cumulative Incidence Regression
GEE cluster standard errors and predictions for glm objects
Haplotype Discrete Survival Models
Discrete Interval Censored Survival Models
Marginal modelling of clustered survival data
Mediation Analysis for survival data
Twin models
Recurrent events
Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risks
Average treatment effect (ATE) based on the Cox and Fine-Gray model
A practical guide to Human Genetics with Lifetime Data
Analysis of multivariate survival data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mets archive

Depends

R ≥ 3.5
timereg ≥ 1.9.4

Imports

lava ≥ 1.7.1
mvtnorm
numDeriv
compiler
Rcpp
splines
survival ≥ 2.43-1

Suggests

optimx
prodlim
cmprsk
testthat ≥ 0.11
ucminf
knitr
rmarkdown
ggplot2
cowplot
icenReg

LinkingTo

Rcpp
RcppArmadillo
mvtnorm

Reverse Imports

riskRegression
targeted

Reverse Suggests

lava
mmcif
timereg