plot.Bwiqid | R Documentation |
Method to display a plot showing the posterior probability distribution of one of the parameters of interest.
## S3 method for class 'Bwiqid' plot(x, which=NULL, credMass=0.95, ROPE=NULL, compVal=NULL, showCurve=FALSE, showMode=FALSE, shadeHDI=NULL, ...)
x |
an object of class |
which |
character: indicates which parameter to plot. If NULL and |
credMass |
the probability mass to include in credible intervals; NULL suppresses plotting. |
ROPE |
a two element vector, such as |
compVal |
a value for comparison with the parameter. |
showCurve |
logical: if TRUE, the posterior density will be represented by a kernel density function instead of a histogram. |
showMode |
logical: if TRUE, the mode of the posterior density will be shown instead of the mean. |
shadeHDI |
specifies a colour to shade the area under the curve corresponding to the HDI; NULL for no shading. Ignored if |
... |
other graphical parameters. |
The posterior distribution is shown as a histogram or density curve (if showCurve = TRUE
), together with the Highest Density Interval. A ROPE and comparison value are also shown if appropriate.
The probability that a parameter precisely zero (or has any other point value) is zero. More interesting is the probability that the difference from zero may be too small to matter. We can define a region of practical equivalence (ROPE) around zero, and obtain the posterior probability that the true value lies therein.
Returns an object of class histogram
invisibly. Used mainly for the side effect.
Mike Meredith, adapted from code by John Kruschke.
Kruschke, J. K. 2013. Bayesian estimation supersedes the t test. Journal of Experimental Psychology: General 142(2):573-603. doi: 10.1037/a0029146
postPlot
.
# See examples in dippers.
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