mets-package | R Documentation |
Implementation of various statistical models for multivariate event history data \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10985-013-9244-x")}. Including multivariate cumulative incidence models \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/sim.6016")}, and bivariate random effects probit models (Liability models) \Sexpr[results=rd]{tools:::Rd_expr_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.
Implementation of various statistical models for multivariate event history data. Including multivariate cumulative incidence models, and bivariate random effects probit models (Liability models)
Maintainer: Klaus K. Holst klaus@holst.it
Authors:
Thomas Scheike
Klaus K. Holst and Thomas Scheike
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