CRAN/E | Colossus

Colossus

"Risk Model Regression and Analysis with Complex Non-Linear Models"

Installation

About

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.

ericgiunta.github.io/Colossus/
github.com/ericgiunta/Colossus
System requirements make
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Key Metrics

Version 1.1.0
Published 2024-04-03 17 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks Colossus results
Language en-US

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Maintainer

Maintainer

Eric Giunta

egiunta@ksu.edu

Authors

Eric Giunta

aut / cre

Amir Bahadori

ctb

Dan Andresen

ctb

Linda Walsh

ctb

Benjamin French

ctb

Lawrence Dauer

ctb

John Boice Jr

ctb

Kansas State University

cph

NASA

fnd

NCRP

fnd

NRC

fnd

Material

README
NEWS
Reference manual
Package source

Vignettes

Distributed_Start_Framework
Alternative_Regression_Options
Plotting_And_Analysis
Time_Dependent_Covariate_Use
Dose_Response_Formula_Terms
Colossus_Description

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Colossus archive

Imports

Rcpp
data.table
parallel
stats
utils
ggplot2
rlang
callr
stringr
processx

Suggests

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LinkingTo

Rcpp
RcppEigen
testthat