SemiCompRisks: Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data
Version 2.6

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; ).

AuthorKyu Ha Lee, Catherine Lee, and Sebastien Haneuse
Date of publication2016-12-11 12:26:29
MaintainerKyu Ha Lee <klee@hsph.harvard.edu>
LicenseGPL (>= 2)
Version2.6
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("SemiCompRisks")

Getting started

Package overview

Popular man pages

BMT: Data on 137 Bone Marrow Transplant Patients
FreqSurv_HReg: The function to fit parametric Weibull models for the...
initiate.startValues_AFT: The function that initiates starting values for a single...
old.functions: Old functions
scrData: A simulated clustered semi-competing risks data set
SemiCompRisks-package: Algorithms for fitting parametric and semi-parametric models...
simSurv: The function that simulates independent/cluster-correlated...
See all...

All man pages Function index File listing

Man pages

BayesID_AFT: The function to implement Bayesian parametric and...
BayesID_HReg: The function to implement Bayesian parametric and...
BayesSurv_AFT: The function to implement Bayesian parametric and...
BayesSurv_HReg: The function to implement Bayesian parametric and...
BMT: Data on 137 Bone Marrow Transplant Patients
FreqID_HReg: The function to fit parametric Weibull models for the...
FreqSurv_HReg: The function to fit parametric Weibull models for the...
initiate.startValues_AFT: The function that initiates starting values for a single...
initiate.startValues_HReg: The function that initiates starting values for a single...
methods: Methods for objects of classes,...
old.functions: Old functions
scrData: A simulated clustered semi-competing risks data set
SemiCompRisks-package: Algorithms for fitting parametric and semi-parametric models...
simID: The function that simulates independent/cluster-correlated...
simSurv: The function that simulates independent/cluster-correlated...
survData: A simulated clustered univariate survival data.

Functions

BMT Man page
BSBH.DP Source code
BSBH.N Source code
BayesID Man page Source code
BayesID_AFT Man page Source code
BayesID_HReg Man page Source code
BayesSurv Man page Source code
BayesSurv_AFT Man page Source code
BayesSurv_HReg Man page Source code
FreqID Man page Source code
FreqID_HReg Man page Source code
FreqSurv Man page Source code
FreqSurv_HReg Man page Source code
SemiCompRisks Man page
SemiCompRisks-package Man page
calVar_DPM_MVN Source code
calVar_DPM_Normal Source code
calcPSR Source code
initiate.startValues Man page Source code
initiate.startValues_AFT Man page Source code
initiate.startValues_HReg Man page Source code
logLike.weibull.SCR Source code
logLike.weibull.SCR.SM Source code
logLike.weibull.Uni Source code
plot.Bayes_AFT Man page Source code
plot.Bayes_HReg Man page Source code
plot.Freq_HReg Man page Source code
print.Bayes_AFT Man page Source code
print.Bayes_HReg Man page Source code
print.Freq_HReg Man page Source code
print.summ.Bayes_AFT Man page Source code
print.summ.Bayes_HReg Man page Source code
print.summ.Freq_HReg Man page Source code
scrData Man page
simID Man page Source code
simSurv Man page Source code
summary.Bayes_AFT Man page Source code
summary.Bayes_HReg Man page Source code
summary.Freq_HReg Man page Source code
survData Man page

Files

inst
inst/doc
inst/doc/SemiCompRisks.pdf
inst/doc/SemiCompRisks.ltx
src
src/BpeScrSM_Updates.c
src/BpeMvnCorScr_Updates.c
src/Makevars
src/Utilities.c
src/BweibScr.c
src/BAFT_LNsurv.h
src/BweibDpCorSurv.c
src/BweibScrSM.c
src/BAFT_LNscr.c
src/BAFT_LNscr.h
src/BweibDpCorScr_Updates.c
src/BAFT_DPsurv.h
src/BpeDpCorScr.c
src/BweibScrSM_Updates.c
src/BweibCorSurv.c
src/BpeDpCorSurv_Updates.c
src/BpeDpCorScr.h
src/BpeMvnCorScrSM_Updates.c
src/BpeMvnCorScrSM.h
src/BAFT_LNscr_Updates.c
src/BpeMvnCorScrSM.c
src/BweibDpCorScr.h
src/BweibDpCorSurv_Updates.c
src/BAFT_DPscr.h
src/BweibMvnCorScrSM.h
src/BweibScr.h
src/BweibSurv.h
src/BweibCorSurv.h
src/BpeMvnCorSurv_Updates.c
src/BpeMvnCorScr.c
src/BpeMvnCorSurv.h
src/BweibSurv_Updates.c
src/BpeScrSM.h
src/BweibMvnCorScr_Updates.c
src/BpeScr.h
src/BpeDpCorScrSM_Updates.c
src/BAFT_LNsurv_Updates.c
src/BweibDpCorSurv.h
src/BpeSurv.h
src/BpeDpCorScrSM.h
src/BweibMvnCorScrSM_Updates.c
src/BweibScrSM.h
src/BpeMvnCorScr.h
src/BweibScr_Updates.c
src/BpeScrSM.c
src/BpeScr_Updates.c
src/BAFT_DPsurv_Updates.c
src/BAFT_DPscr.c
src/BweibDpCorScr.c
src/BpeDpCorSurv.h
src/BweibDpCorScrSM.h
src/BAFT_LNsurv.c
src/BweibMvnCorScr.h
src/BpeScr.c
src/BweibDpCorScrSM.c
src/BpeDpCorScrSM.c
src/BweibCorSurv_Updates.c
src/BAFT_DPscr_Updates.c
src/BweibMvnCorScr.c
src/BweibDpCorScrSM_Updates.c
src/BpeSurv_Updates.c
src/BweibSurv.c
src/BpeDpCorSurv.c
src/BpeMvnCorSurv.c
src/BpeDpCorScr_Updates.c
src/BweibMvnCorScrSM.c
src/BpeSurv.c
src/BAFT_DPsurv.c
NAMESPACE
data
data/BMT.rda
data/survData.rda
data/scrData.rda
R
R/simID.R
R/simSurv.R
R/BayesSurv_HReg.R
R/initiate.startValues_AFT.R
R/methods.R
R/BayesSurv_AFT.R
R/initiate.startValues_HReg.R
R/SemiCompRisks-internal.R
R/BayesID_AFT.R
R/internalFunc.R
R/FreqSurv_HReg.R
R/BayesID_HReg.R
R/FreqID_HReg.R
R/old.functions.R
vignettes
vignettes/SemiCompRisks.ltx
MD5
build
build/vignette.rds
DESCRIPTION
man
man/initiate.startValues_AFT.Rd
man/old.functions.Rd
man/FreqSurv_HReg.Rd
man/BMT.Rd
man/BayesID_AFT.Rd
man/FreqID_HReg.Rd
man/initiate.startValues_HReg.Rd
man/simSurv.Rd
man/survData.Rd
man/scrData.Rd
man/BayesSurv_HReg.Rd
man/SemiCompRisks-package.Rd
man/methods.Rd
man/simID.Rd
man/BayesSurv_AFT.Rd
man/BayesID_HReg.Rd
SemiCompRisks documentation built on May 19, 2017, 7:51 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.