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smoothSurv  

Survival Regression with Smoothed Error Distribution
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("smoothSurv", "2.6")



Attach the package and use:
library("smoothSurv")
Maintained by
Arnošt Komárek
[Scholar Profile | Author Map]
First Published: 2003-10-23
Latest Update: 2023-02-25
Description:
Contains, as a main contribution, a function to fit a regression model with possibly right, left or interval censored observations and with the error distribution expressed as a mixture of G-splines. Core part of the computation is done in compiled 'C++' written using the 'Scythe' Statistical Library Version 0.3.
How to cite:
Arnošt Komárek (2003). smoothSurv: Survival Regression with Smoothed Error Distribution. R package version 2.6, https://cran.r-project.org/web/packages/smoothSurv. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1 (2003-10-23 18:34), 0.3-1 (2004-09-17 11:19), 0.3-2 (2005-04-11 12:02), 0.3-3 (2005-09-23 17:56), 0.3-4 (2005-11-17 08:38), 0.3-6 (2007-03-27 21:05), 0.3-7 (2007-05-18 09:37), 0.3-8 (2007-05-29 17:43), 0.3-9 (2007-08-14 15:51), 0.3-10 (2007-08-25 18:50), 0.3-11 (2007-10-27 17:31), 0.3-12 (2008-06-26 15:25), 0.3 (2004-08-19 20:07), 0.4 (2009-04-27 13:59), 0.5-1 (2009-06-25 17:17), 0.6 (2010-01-14 13:00), 0.7 (2010-05-30 15:38), 1.0 (2012-01-07 16:32), 1.1 (2012-09-25 13:51), 1.2.1 (2013-03-29 17:08), 1.2 (2012-12-27 10:20), 1.3-2 (2013-06-12 08:29), 1.5-2 (2015-05-21 09:55), 1.5 (2015-02-05 09:18), 1.6 (2015-07-27 23:57), 2.0.1 (2018-08-10 08:11), 2.0 (2017-09-24 16:41), 2.1 (2020-02-11 00:00), 2.2 (2020-05-18 11:10), 2.3 (2020-06-01 19:50), 2.4 (2022-04-18 16:50), 2.5 (2022-10-10 23:30)
Other packages that cited smoothSurv R package
View smoothSurv citation profile
Other R packages that smoothSurv depends, imports, suggests or enhances
Complete documentation for smoothSurv
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