Plot posterior distribution for treatment effect
This function plots the effect_draw for one or more baggr objects.
effect_plot(..., transform = NULL)
... |
Object(s) of class |
transform |
a transformation to apply to the result, should be an R function;
(this is commonly used when calling |
A ggplot.
baggr_compare can be used as a shortcut for effect_plot with argument
compare = "effects"
# A single effects plot
bg1 <- baggr(schools, prior_hypersd = uniform(0, 20))
effect_plot(bg1)
# Compare how posterior depends on the prior choice
bg2 <- baggr(schools, prior_hypersd = normal(0, 5))
effect_plot("Uniform prior on SD"=bg1,
"Normal prior on SD"=bg2)
# Compare the priors themselves (ppd=T)
bg1_ppd <- baggr(schools, prior_hypersd = uniform(0, 20), ppd=TRUE)
bg2_ppd <- baggr(schools, prior_hypersd = normal(0, 5), ppd=TRUE)
effect_plot("Uniform prior on SD"=bg1_ppd,
"Normal prior on SD"=bg2_ppd)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.