mets (1.2.2)

0 users

Analysis of Multivariate Event Times.

https://github.com/kkholst/mets
http://cran.r-project.org/web/packages/mets

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

License: GPL (>= 2)

Uses: lava, numDeriv, Rcpp, survival, timereg, R.rsp, prodlim, ucminf, testthat, lava.tobit
Reverse depends: lava.tobit
Reverse suggests: gap, lava, riskRegression

Released 4 months ago.


17 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of mets yet. Want to be the first? Write one now.


Related packages: BMA, BayHaz, DAAG, DPpackage, Epi, ICE, KMsurv, LearnBayes, LogicReg, MCMCpack, MLEcens, NADA, NestedCohort, SMPracticals, VGAM, aster, bayesSurv, boot, clinfun, cmprsk(20 best matches, based on common tags.)


Search for mets on google, google scholar, r-help, r-devel.

Visit mets on R Graphical Manual.