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CRAN: Package Colossus

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

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 <https://en.wikipedia.org/wiki/Proportional_hazards_model>, Poisson <https://en.wikipedia.org/wiki/Poisson_regression>, and Fine-Gray competing risks <https://www.publichealth.columbia.edu/research/population-health-methods/competing-risk-analysis> regression are supported. This work was sponsored by NASA Grants 80NSSC19M0161 and 80NSSC23M0129 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.

Version: 1.3.0 Imports: Rcpp, data.table, parallel, stats, utils, rlang, callr, stringr, processx, dplyr, tibble, lubridate LinkingTo: Rcpp, RcppEigen, testthat Suggests: knitr, rmarkdown, testthat, xml2, ggplot2, pandoc, spelling, survival, dtplyr Published: 2025-06-05 DOI: 10.32614/CRAN.package.Colossus Author: 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] Maintainer: Eric Giunta <egiunta at ksu.edu> BugReports: https://github.com/ericgiunta/Colossus/issues License: GPL (≥ 3) URL: https://ericgiunta.github.io/Colossus/, https://github.com/ericgiunta/Colossus NeedsCompilation: yes SystemRequirements: make Language: en-US Citation: Colossus citation info Materials: README NEWS CRAN checks: Colossus results Documentation: Reference manual: Colossus.pdf Vignettes: Distributed Start Framework (source, R code)
Alternative Regression Options (source, R code)
List of Control Options (source, R code)
Dose Response Formula Terms (source, R code)
Unified Equation Representation (source, R code)
Excess and Predicted Cases (source, R code)
Gradient and Hessian Approaches (source, R code)
Matched Case-Control Logistic Regression (source, R code)
Multiple Realization Methods (source, R code)
Functions for Plotting and Analysis (source, R code)
SMR Analysis (source, R code)
Script comparisons with 32-bit Epicure (source, R code)
Colossus Description (source, R code)
Time Dependent Covariate Use (source, R code)
Confidence Interval Selection (source, R code)
Generating Person-Count and Person-Time Tables (source, R code)
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