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SmoothHazard  

Estimation of Smooth Hazard Models for Interval-Censored Data
View on CRAN: Click here


Download and install SmoothHazard package within the R console
Install from CRAN:
install.packages("SmoothHazard")

Install from Github:
library("remotes")
install_github("cran/SmoothHazard")

Install by package version:
library("remotes")
install_version("SmoothHazard", "2024.04.10")



Attach the package and use:
library("SmoothHazard")
Maintained by
Thomas Alexander Gerds
[Scholar Profile | Author Map]
First Published: 2013-02-22
Latest Update: 2023-09-11
Description:
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.
How to cite:
Thomas Alexander Gerds (2013). SmoothHazard: Estimation of Smooth Hazard Models for Interval-Censored Data. R package version 2024.04.10, https://cran.r-project.org/web/packages/SmoothHazard. Accessed 01 May. 2025.
Previous versions and publish date:
1.0.8 (2013-02-22 12:18), 1.0.9 (2013-03-08 10:14), 1.2.0 (2014-09-18 09:45), 1.2.3 (2014-09-19 00:58), 1.4.0 (2017-03-31 18:56), 1.4.1 (2017-07-12 12:30), 2022.08.23 (2022-08-24 09:00), 2023.06.27 (2023-06-27 16:10)
Other packages that cited SmoothHazard R package
View SmoothHazard citation profile
Other R packages that SmoothHazard depends, imports, suggests or enhances
Complete documentation for SmoothHazard
Functions, R codes and Examples using the SmoothHazard R package
Some associated functions: Paq1000 . idm . idmModel . intensity . plot.idm . plot.shr . predict.idm . print.idm . print.shr . shr . sim.idmModel . sim.survIC . simulateIDM . summary.idm . summary.shr . survIC . testdata . 
Some associated R codes: SmoothHazard-package.R . idm.R . intensity.R . plot.idm.R . plot.shr.R . predict.idm.R . print.idm.R . print.predict.idm.R . print.shr.R . shr.R . simSurvIC.R . simulateIDM.R . summary.idm.R . summary.shr.R .  Full SmoothHazard package functions and examples
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