SemiCompRisks (2.6)

0 users

Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data.

http://cran.r-project.org/web/packages/SemiCompRisks

Parametric and semi-parametric analyses of semi-competing risks/univariate survival data. For semi-competing risks data, the package contains implementations of hierarchical models for independent data (Lee et al., 2015; ) and cluster-correlated data (Lee et al., 2016; ).

Maintainer: Kyu Ha Lee
Author(s): Kyu Ha Lee, Catherine Lee, and Sebastien Haneuse

License: GPL (>= 2)

Uses: MASS, survival, R.rsp

Released 4 months ago.


6 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of SemiCompRisks 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 SemiCompRisks on google, google scholar, r-help, r-devel.

Visit SemiCompRisks on R Graphical Manual.