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Colossus
View on CRAN: Click
here
Download and install Colossus package within the R console
Install from CRAN:
install.packages("Colossus")
Install from Github:
library("remotes")
install_github("cran/Colossus")
Install by package version:
library("remotes")
install_version("Colossus", "1.2")
Attach the package and use:
library("Colossus")
Maintained by
Eric Giunta
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.Colossus . https://github.com/ericgiunta/Colossus/issues . https://ericgiunta.github.io/Colossus/ . https://github.com/ericgiunta/Colossus . Colossus citation info . Colossus results . Colossus.pdf . Colossus Description . Colossus_1.2.tar.gz . Colossus_1.2.zip . Colossus_1.2.zip . Colossus_1.2.zip . Colossus_1.2.tgz . Colossus_1.2.tgz . Colossus_1.2.tgz . Colossus_1.2.tgz . Colossus_1.2.tgz . Colossus_1.2.tgz . Colossus archive . https://CRAN.R-project.org/package=Colossus .
First Published: 2023-09-28
Latest Update: 2024-02-26
Description:
Performs survival analysis using general non-linear models. Risk models can be the sum or product of terms. Each term is the product of exponential/linear functions of covariates. Additionally sub-terms can be defined as a sum of exponential, linear threshold, and step functions. Cox Proportional hazards , Poisson , and Fine-Grey competing risks regression are supported. This work was sponsored by NASA Grant 80NSSC19M0161 through a subcontract from the National Council on Radiation Protection and Measurements (NCRP). The computing for this project was performed on the Beocat Research Cluster at Kansas State University, which is funded in part by NSF grants CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332, and NIH P20GM113109.
How to cite:
Eric Giunta (2023). Colossus: "Risk Model Regression and Analysis with Complex Non-Linear Models". R package version 1.2, https://cran.r-project.org/web/packages/Colossus. Accessed 17 Feb. 2025.
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