forest.mp.cv.val: Forest plot of a validation object.

In metamisc: Meta-Analysis of Diagnosis and Prognosis Research Studies

Description

Draw a forest plot of the performance of an internally-externally cross-validated model.

Usage

## S3 method for class 'mp.cv.val'
forest(object, perfFUN = 1, method = "REML", xlab = NULL, ...)

Arguments

object	An mp.cv.val or perf object.
perfFUN	Numeric or character. Which performance statistic should be plotted? Defaults to the first.
method	character string specifying whether a fixed- or a random-effects model should be used to summarize the prediction model performance. A fixed-effects model is fitted when using method="FE". Random-effects models are fitted by setting method equal to one of the following: "DL", "HE", "SJ", "ML", "REML", "EB", "HS", or "GENQ". Default is "REML".
xlab	Label on x-axis. Defaults to the name of the performance function.
...	Other arguments passed to plotting internals. E.g. title. See forest.default for details.

Author(s)

Valentijn de Jong <[e-mail]>

metamisc documentation built on Oct. 13, 2021, 3 p.m.