getCyclopsPredictiveLogLikelihood

<code>getCyclopsPredictiveLogLikelihood</code> returns the log-likelihood of a subset of the data in a Cyclops model fit object.

internal

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 

getCyclopsPredictiveLogLikelihood function

<dl><dt>object</dt>
<dd>A Cyclops model fit object</dd>
<dt>weights</dt>
<dd>Numeric vector: vector of 0/1 identifying subset (=1) of rows from <code>object</code> to use in computing the log-likelihood</dd></dl>

Arguments

Compute predictive log-likelihood from a Cyclops model fit — getCyclopsPredictiveLogLikelihood

<dl>

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


<dt>weights</dt>
<dd>Numeric vector: vector of 0/1 identifying subset (=1) of rows from <code>object</code> to use in computing the log-likelihood</dd>

</dl>

Compute predictive log-likelihood from a Cyclops model fit

getCyclopsPredictiveLogLikelihood: Compute predictive log-likelihood from a Cyclops model fit

Description

Usage

Value

Arguments