fit: A function to fit the model.
In VNyaga/NMADAS: Arm-Based Network Meta-Analaysis of Diagnostic Accuracy Studies

Description Usage Arguments Value

Fit a NMA model to the data.

A function to fit the model.

fit(object, ...)

## S4 method for signature 'nmadasmodel'
fit(object, data, S.ID, T.ID, Comparator = "NA",
  tp = NULL, fn = NULL, tn = NULL, fp = NULL, cores = 3, chains = 3,
  iter = 6000, warmup = 1000, thin = 10, ...)

`...`	Other optional parameters as specified in stan.
`data`	A data-frame with no missing values containg TP, TN, FP, FN, SID and TID.
`Comparator`	The name of the comparator test when relative sensitivity and specificity are required. By default the first test as arranged alphabetically is the comparator.
`tp`	A string indicating the name of the columnt with the true positives.
`fn`	A string indicating the name of the columnt with the false negatives.
`tn`	A string indicating the name of the columnt with the true negatives.
`fp`	A string indicating the name of the columnt with the false positives.
`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.
`nma.model`	A model written in the stan format from nmadasmodel. If the model is not specified, a hierachical beta-binomial model with frank copula is fitted.
`SID`	A string indicating the name of the column with the study identifier.
`TID`	A string indicating the name of the column with the test identifier.