Varies one variable and holds others at typical values (median/mode) to plot the
predicted parameter curve (default: mu). Uses ggplot2 if available, otherwise base.
Usage
effect_plot(fit, var, data, what = "mu", grid = 100)
# S3 method for class 'effect_plot_failure'
print(x, ...)
Arguments
- fit
sb_gamlss object (or gamlss)
- var
character, name of the variable to vary
- data
original data.frame used to fit
- what
which parameter to predict ("mu","sigma","nu","tau")
- grid
number of grid points for numeric variable
- x
object returned by effect_plot() when prediction fails
- ...
unused
Value
a ggplot object if ggplot2 present; otherwise draws base plot and returns NULL
Invisibly returns x.