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survmixer  

Design of Clinical Trials with Survival Endpoints Based on Binary Responses
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("survmixer", "1.3")



Attach the package and use:
library("survmixer")
Maintained by
Marta Bofill Roig
[Scholar Profile | Author Map]
First Published: 2021-03-31
Latest Update: 2021-03-31
Description:
Sample size and effect size calculations for survival endpoints based on mixture survival-by-response model. The methods implemented can be found inBofill, Shen & Gómez (2021) <doi:10.48550/arXiv.2008.12887>.
How to cite:
Marta Bofill Roig (2021). survmixer: Design of Clinical Trials with Survival Endpoints Based on Binary Responses. R package version 1.3, https://cran.r-project.org/web/packages/survmixer. Accessed 28 Feb. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for survmixer
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