createParameterizedPrior

Character vector: specifies prior distribution. See below for options

priorType

Function list: parameterizes location and variance

parameterize

Numeric vector: initial parameter values

values

Logical: Perform cross-validation to determine <code>parameters</code>.

useCrossValidation

Logical: Force intercept coefficient into prior

forceIntercept

<code>createParameterizedPrior</code> creates a Cyclops prior object for use with <code><a rd-options="" href="/link/fitCyclopsModel?package=Cyclops&version=2.0.2" data-mini-rdoc="Cyclops::fitCyclopsModel">fitCyclopsModel</a></code>
in which arbitrary <code>R</code> functions parameterize the prior location and variance.

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

Sushil Mittal

Observational Health Data Sciences and Informatics 

Marcus Geelnard

Rutgers University 

R Development Core Team 

createParameterizedPrior function

<code>createParameterizedPrior</code> creates a Cyclops prior object for use with <code><a rd-options='' href='fitCyclopsModel'>fitCyclopsModel</a></code>
in which arbitrary <code>R</code> functions parameterize the prior location and variance.

createParameterizedPrior: Create a Cyclops parameterized prior object

Description

Usage

Arguments

Value