fit {CopulaDTA}R Documentation

A function to fit the model.

Description

A function to fit the model.

Usage

fit(object, ...)

## S4 method for signature 'cdtamodel'
fit(object, data, SID, cores = 3, chains = 3,
  iter = 6000, warmup = 1000, thin = 10, ...)

Arguments

object

A cdtamodel object created by cdtamodel function.

...

Other optional parameters as specified in stan.

data

A data-frame with no missing values containg TP, TN, FP, FN, 'SID' and co-varaiables(if necessary).

SID

A string indicating the name of the column with the study identifier.

cores

A positive numeric values specifying the number of cores to use to execute parallel sampling. When the hardware has more at least 4 cores, the default is 3 cores and otherwise 1 core.

chains

A positive numeric value specifying the number of chains, default is 3.

iter

A positive numeric value specifying the number of iterations per chain. The default is 6000.

warmup

A positive numeric value (<iter) specifying the number of iterations to be discarded(burn-in/warm-up). The default is 1000.

thin

A positive numeric value specifying the interval in which the samples are stored. The default is 10.


[Package CopulaDTA version 1.0.0 Index]