"Risk Model Regression and Analysis with Complex Non-Linear Models"
checks for duplicated column names
Applies time duration truncation limits to create columns for Cox mode...
General purpose verbosity check
Corrects the order of terms/formula/etc
Calculates hazard ratios for a reference vector
Automates creating a date difference column
Automatically assigns missing guessing control values
Automatically assigns missing control values
Automatically assigns missing model control values
Automatically assigns geometric-mixture values and checks that a valid...
Splits a parameter into factors in parallel
Splits a parameter into factors
Performs checks to gather a list of guesses and iterations
Checks default c++ compiler
Applies time dependence to parameters
Checks system OS
Calculates and returns data for time by hazard and survival to estimat...
Defines Interactions
Automates creating data for a joint competing risks analysis
Defines the likelihood ratio test
Calculates Full Parameter list for Special Dose Formula
Calculates The Additional Parameter For a linear-exponential formula w...
Checks the OMP flag
Checks how R was compiled
Checks default R c++ compiler
Automatically assigns missing values in listed columns
Performs basic Cox Proportional Hazards regression with the null model
Performs Cox Proportional Hazard model plots
Performs basic Cox Proportional Hazards regression with a multiplicati...
Performs basic Cox Proportional Hazards regression with competing risk...
Performs basic Cox Proportional Hazards regression, Generates multiple...
Performs Cox Proportional Hazards regression using the omnibus functio...
Performs Cox Proportional Hazards regression using the omnibus functio...
Performs basic Cox Proportional Hazards calculation with no derivative
Performs basic Cox Proportional Hazards regression with strata effect
Performs basic cox regression, with multiple guesses, starts with solv...
Performs basic Cox Proportional Hazards regression without special opt...
Predicts how many events are due to baseline vs excess at the confiden...
Predicts how many events are due to baseline vs excess
Performs basic Poisson regression, generates multiple starting guesses...
Performs joint Poisson regression using the omnibus function
Performs basic Poisson regression using the omnibus function
Calculates poisson residuals
Performs poisson regression with no derivative calculations
Performs poisson regression with strata effect
Performs basic poisson regression, with multiple guesses, starts with ...
Performs basic poisson regression
Checks OS, compilers, and OMP
Automates creating a date since a reference column
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.
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