Draws, for each hypothesis of a usdt_bf() result, the posterior density
(solid) and the prior density (dashed) of the tested quantity, which names
the x axis of its panel: \(\Delta d'\), \(\rho\), or \(\beta_0\) and
\(\beta_1\) for the intercept and slope of the latent regression. The
panel title says whether the hypothesis is the
null (H0), as a point is, or the alternative (H1), as an inequality or a
region is, and the panel reports the Bayes factor of that hypothesis
against the other: \(\mathrm{BF}_{01}\) for a point,
\(\mathrm{BF}_{10}\) otherwise. For a point hypothesis, a dotted line
marks the tested value and two points mark the heights whose ratio is the
Savage-Dickey Bayes factor. For a directional or interval hypothesis, the
shaded area is the posterior probability of H1. Each panel has a density
scale of its own, so the panels share one y axis, labelled Density, drawn
on the first panel of each row and without values.
Usage
# S3 method for class 'usdt_bf'
plot(x, caption = TRUE, ...)Arguments
- x
A
usdt_bfobject fromusdt_bf().- caption
Logical. Show the caption that explains the plot under it (default
TRUE).- ...
Ignored.
Details
usdt_bf() draws this figure by default. Call plot() to draw it again,
or to draw some of its rows, e.g. plot(b[3, ]).