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condSURV  

Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("condSURV", "2.0.4")



Attach the package and use:
library("condSURV")
Maintained by
Marta Sestelo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-25
Latest Update: 2023-03-01
Description:
Method to implement some newly developed methods for the estimation of the conditional survival function. See Meira-Machado, Sestelo and Goncalves (2016) .
How to cite:
Marta Sestelo (2016). condSURV: Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data. R package version 2.0.4, https://cran.r-project.org/web/packages/condSURV. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2016-05-25 11:56), 1.0.0 (2016-10-29 10:48), 2.0.0 (2016-12-05 15:24), 2.0.1 (2016-12-21 08:30), 2.0.2 (2022-04-29 14:30)
Other packages that cited condSURV R package
View condSURV citation profile
Other R packages that condSURV depends, imports, suggests or enhances
Complete documentation for condSURV
Functions, R codes and Examples using the condSURV R package
Some associated functions: Beran . KM . KMW . LLW . NWW . PKM . PKMW . bladderCS . colonCS . condSURV-package . gbcsCS . plot.survCS . summary.survCS . survCOND . survCS . 
Some associated R codes: Beran.R . KM.R . KMW.R . LLW.R . NWW.R . PKM.R . PKMW.R . condSURV-package.R . plot.survCS.R . print.survCS.R . summary.survCS.R . survCOND.R . survCS.R . survIPCW.R . survKMW.R . survLDM.R . survPLDM.R . whichCS.R .  Full condSURV package functions and examples
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