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Forest plot of population-standardized marginal effects

Source: R/plot.R
plot.mlumr_marginal_effects.Rd

Plots the point estimate and credible interval for each effect measure, grouped by target population (index / comparator). The interval's coverage is read from the quantile columns present, so it matches the probs the result was summarized with. Panels showing only ratio measures are drawn on a log axis, where reciprocal effects sit at equal distances from the null. The mlumr analogue of plot(multinma::relative_effects(fit)).

Usage

# S3 method for class 'mlumr_marginal_effects'
plot(x, ref_line = NULL, ...)

Arguments

x

A marginal_effects() result.

ref_line

Numeric null-effect reference line. By default 0 for difference/log measures and 1 for natural ratio measures (RR), drawn per facet. Pass a single value to override for all panels.

...

Unused.

Value

A ggplot object.

See also

marginal_effects()

Examples

if (FALSE) { # \dontrun{
plot(marginal_effects(fit, effect = "all"))
} # }