plot_trends {bayesdfa} | R Documentation |
Plot the trends from a DFA
Description
Plot the trends from a DFA
Usage
plot_trends(
rotated_modelfit,
years = NULL,
highlight_outliers = FALSE,
threshold = 0.01
)
Arguments
rotated_modelfit |
Output from |
years |
Optional numeric vector of years for the plot |
highlight_outliers |
Logical. Should trend events
that exceed the probability of occurring with a normal distribution as
defined by |
threshold |
A probability threshold below which to flag trend events as extreme. Defaults to 0.01 |
See Also
dfa_trends plot_loadings fit_dfa rotate_trends
Examples
set.seed(1)
s <- sim_dfa(num_trends = 1)
m <- fit_dfa(y = s$y_sim, num_trends = 1, iter = 50, chains = 1)
r <- rotate_trends(m)
p <- plot_trends(r)
print(p)
[Package bayesdfa version 1.3.3 Index]