Check_Iters

<code>Check_Iters</code> checks the number of iterations and number of guesses, and corrects

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-Gray competing risks 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.

Eric Giunta

Colossus

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

Amir Bahadori

Dan Andresen

Linda Walsh

Benjamin French

Lawrence Dauer

John Boice Jr

Kansas State University 

NASA 

NCRP 

NRC 

Check_Iters function

<dl><dt>control</dt>
<dd>list of parameters controlling the convergence, see the Control_Options vignette for details</dd>
<dt>a_n</dt>
<dd>list of initial parameter values, used to determine the number of parameters. May be either a list of vectors or a single vector.</dd></dl>

Arguments

Automatically checks the number of starting guesses — Check_Iters

<dl>

<dt>control</dt>
<dd>list of parameters controlling the convergence, see the Control_Options vignette for details</dd>


<dt>a_n</dt>
<dd>list of initial parameter values, used to determine the number of parameters. May be either a list of vectors or a single vector.</dd>

</dl>

Automatically checks the number of starting guesses

Check_Iters: Automatically checks the number of starting guesses

Description

Usage

Value

Arguments

See Also