Forest plot of a validation object. — forest.mp.cv.val • metamisc

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

Usage

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

x: 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.

Valentijn de Jong <Valentijn.M.T.de.Jong@gmail.com>