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).

Maintainer: Klaus K. Holst <klaus at holst.it>

Author(s): Klaus K. Holst and Thomas Scheike

Install package and any missing dependencies by running this line in your R console:

install.packages("mets")

Depends R (>= 3.3), timereg(>=1.9), lava(>=1.5)
Imports numDeriv, compiler, Rcpp, splines, survival
Suggests lava.tobit(>=0.4-7), prodlim, testthat(>=0.11), ucminf, R.rsp(>=0.40)
Enhances
Linking to Rcpp, RcppArmadillo
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depends
lava.tobit
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imports
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suggests
gap, lava, riskRegression
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enhances
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linking to

Package mets
Materials
URL https://github.com/kkholst/mets
Task Views Survival
Version 1.2.2
Published 2017-03-30
License GPL (>= 2)
BugReports https://github.com/kkholst/mets/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks mets check results
Package source mets_1.2.2.tar.gz