Plot a forest plot

Takes a meta_stan object which is obtained by function meta_stan and plot a forestplot, showing individual estimates along with their 95 percent credible intervals, resulting effect estimate and prediction interval.

Usage

# S3 method for meta_stan
forestplot(x = NULL, labels = NULL, digits = 2, boxsize = 0.3, col, ...)

Source

This function is based foresplot function from foresplot R package.

Arguments

x

A meta_stan object.

labels

Optional vector with labels for the studies (publication author/year).

digits

A numerical value specifying the number of significant digits to be shown. Default is 2.

boxsize

A numerical value specifying the box size. Default is 0.3.

col

A function specifying the colors. See forestplot::fpColors for details.

...

Further arguments passed to or from other methods.

Value

The return value is invisible NULL.

See also

foresplot::foresplot

Author

Christian Roever and Burak Kuersad Guenhan

Examples

if (FALSE) {
data('dat.Crins2014', package = "MetaStan")
dat_long <- create_MetaStan_dat(dat = dat.Crins2014,
                                    armVars = c(responders = "r", sampleSize = "n"))
bnhm.Crins  <- meta_stan(data = dat_long, likelihood = "binomial",
                         mu_prior = c(0, 10), theta_prior = c(0, 100),
                         tau_prior =  0.5)
forestplot(bnhm.Crins, xlab = "log-OR", labels = dat.Crins2014$publication)

}