runBootstrap

Run bootstrap for Cyclops model parameters

This model fitting tool incorporates cyclic coordinate descent and
majorization-minimization approaches to fit a variety of regression models
found in large-scale observational healthcare data. Implementations focus
on computational optimization and fine-scale parallelization to yield
efficient inference in massive datasets. Please see:
Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.

Marc A Suchard

Cyclops

Cyclic Coordinate Descent for Logistic, Poisson and Survival
Analysis

Marc A. Suchard

Martijn J. Schuemie

Trevor R. Shaddox

Yuxi Tian

Jianxiao Yang

Eric Kawaguchi

Sushil Mittal

Observational Health Data Sciences and Informatics 

Marcus Geelnard

Rutgers University 

R Development Core Team 

runBootstrap function

<dl><dt>object</dt>
<dd>A fitted Cyclops model object</dd>
<dt>replicates</dt>
<dd>Numeric: number of bootstrap samples</dd>
<dt>ciCoverage</dt>
<dd>Numeric (0-1): coverage proportion for bootstrap confidence intervals</dd>
<dt>na.rm</dt>
<dd>Logical: strip out bootstrap replicates with NA values (most likely without a finite estimate)</dd></dl>

Arguments

Run bootstrap for Cyclops model parameters — runBootstrap

<dl>

<dt>object</dt>
<dd>A fitted Cyclops model object</dd>


<dt>replicates</dt>
<dd>Numeric: number of bootstrap samples</dd>


<dt>ciCoverage</dt>
<dd>Numeric (0-1): coverage proportion for bootstrap confidence intervals</dd>


<dt>na.rm</dt>
<dd>Logical: strip out bootstrap replicates with NA values (most likely without a finite estimate)</dd>

</dl>

Run bootstrap for Cyclops model parameters

runBootstrap: Run bootstrap for Cyclops model parameters

Description

Usage

Arguments