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survML  

Tools for Flexible Survival Analysis Using Machine Learning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("survML", "1.2.0")



Attach the package and use:
library("survML")
Maintained by
Charles Wolock
[Scholar Profile | Author Map]
First Published: 2023-07-08
Latest Update: 2023-07-08
Description:
Tools for flexible estimation of conditional survival functions using off-the-shelf machine learning tools. Implements both global and local survival stacking. See Wolock CJ, Gilbert PB, Simon N, and Carone M (2024) <doi:10.1080/10618600.2024.2304070>.
How to cite:
Charles Wolock (2023). survML: Tools for Flexible Survival Analysis Using Machine Learning. R package version 1.2.0, https://cran.r-project.org/web/packages/survML. Accessed 21 Apr. 2025.
Previous versions and publish date:
1.0.0 (2023-07-08 12:00), 1.1.0 (2024-03-17 06:30)
Other packages that cited survML R package
View survML citation profile
Other R packages that survML depends, imports, suggests or enhances
Complete documentation for survML
Functions, R codes and Examples using the survML R package
Some associated functions: stackG . stackL . survML-package . 
Some associated R codes: compute_exponential.R . compute_prodint.R . f_w_algorithms.R . f_w_stack.R . f_y_algorithms.R . f_y_stack.R . p_delta.R . p_delta_algorithms.R . stackG.R . stackL.R . stack_utils.R . survML-package.R .  Full survML package functions and examples
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