Package: Colossus 1.1.4.2
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-Grey competing risks <https://www.publichealth.columbia.edu/research/population-health-methods/competing-risk-analysis> 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.
Authors:
Colossus_1.1.4.2.tar.gz
Colossus_1.1.4.2.tar.gz(r-4.5-noble)Colossus_1.1.4.2.tar.gz(r-4.4-noble)
Colossus_1.1.4.2.tgz(r-4.4-emscripten)Colossus_1.1.4.2.tgz(r-4.3-emscripten)
Colossus.pdf |Colossus.html✨
Colossus/json (API)
NEWS
# Install 'Colossus' in R: |
install.packages('Colossus', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ericgiunta/colossus/issues
Pkgdown:https://ericgiunta.github.io
Last updated 2 months agofrom:2ca69db76a. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-linux-x86_64 | OK | Nov 21 2024 |
Exports:Check_Dupe_ColumnsCheck_TruncCorrect_Formula_OrderCox_Relative_RiskDate_ShiftDef_ControlDef_Control_GuessDef_model_controlDef_modelform_fixfactorizefactorize_parGather_Guesses_CPPgen_time_depGetCensWeightinteract_themJoint_Multiple_EventsLikelihood_Ratio_TestLinked_Dose_FormulaLinked_Lin_Exp_ParaReplace_MissingRunCoxNullRunCoxPlotsRunCoxRegressionRunCoxRegression_BasicRunCoxRegression_CRRunCoxRegression_Guesses_CPPRunCoxRegression_OmnibusRunCoxRegression_Omnibus_MultidoseRunCoxRegression_SingleRunCoxRegression_STRATARunCoxRegression_Tier_GuessesRunPoissonEventAssignmentRunPoissonEventAssignment_boundRunPoissonRegressionRunPoissonRegression_Guesses_CPPRunPoissonRegression_Joint_OmnibusRunPoissonRegression_OmnibusRunPoissonRegression_ResidualRunPoissonRegression_SingleRunPoissonRegression_STRATARunPoissonRegression_Tier_GuessesSystem_VersionTime_Since
Dependencies:briocallrclicrayondata.tabledescdiffobjdigestevaluatefsgluejsonlitelifecyclemagrittrpkgbuildpkgloadpraiseprocessxpsR6RcppRcppEigenrlangrprojrootstringistringrtestthatvctrswaldowithr
Alternative Regression Options
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Colossus Description
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Confidence Interval Selection
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Distributed Start Framework
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Dose Response Formula Terms
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Excess and Predicted Cases
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Functions for Plotting and Analysis
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List of Control Options
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Multiple Realization Methods
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Script comparisons with 32-bit Epicure
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Time Dependent Covariate Use
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