SmoothHazard: Estimation of Smooth Hazard Models for Interval-Censored Data with Applications to Survival and Illness-Death Models

Estimation of two-state (survival) models and irreversible illness- death models with possibly interval-censored,left-truncated and right-censored data. Proportional intensities regression models can be specified to allow for covariates effects separately for each transition. We use either a parametric approach with Weibull baseline intensities or a semi-parametric approach with M-splines approximation of baseline intensities in order to obtain smooth estimates of the hazard functions. Parameter estimates are obtained by maximum likelihood in the parametric approach and by penalized maximum likelihood in the semi-parametric approach.

Install the latest version of this package by entering the following in R:
install.packages("SmoothHazard")
AuthorCelia Touraine, Pierre Joly, Thomas A. Gerds
Date of publication2017-03-31 16:56:42 UTC
MaintainerThomas Alexander Gerds <tag@biostat.ku.dk>
LicenseGPL (>= 2)
Version1.4.0

View on CRAN

Files

tests
tests/test-idm.R
src
src/idmPlLikelihood2.f90
src/Makevars
src/tri.f90
src/survPlLikelihood.f90
src/recKappa.f90
src/estimv.f90
src/survPl.f90
src/survLikelihood.f90
src/fonct.f90
src/useSurv.f90
src/qgauss1.f90
src/distance.f90
src/cdfnor.f90
src/survWeib.f90
src/commun.f90
src/idmPl.f90
src/bgos.f90
src/idmPlLikelihood.f90
src/idmPlLikelihood0.f90
src/idmWeib.f90
src/optim.f90
src/Makevars.win
src/init.c
src/idmLikelihood.f90
NAMESPACE
data
data/Paq1000.txt.gz
data/testdata.txt.gz
R
R/plot.idm.R R/summary.shr.R R/intensity.R R/shr.R R/print.predict.idm.R R/summary.idm.R R/print.idm.R R/simSurvIC.R R/SmoothHazard-package.R R/idm.R R/simulateIDM.R R/plot.shr.R R/predict.idm.R R/print.shr.R
README.md
MD5
DESCRIPTION
man
man/print.shr.Rd man/shr.Rd man/Paq1000.Rd man/summary.shr.Rd man/idm.Rd man/survIC.Rd man/summary.idm.Rd man/plot.shr.Rd man/sim.idmModel.Rd man/testdata.Rd man/plot.idm.Rd man/simulateIDM.Rd man/print.idm.Rd man/idmModel.Rd man/predict.idm.Rd man/intensity.Rd man/sim.survIC.Rd

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