plot.rmsb {rmsb} | R Documentation |
Plot Posterior Densities and Summaries
Description
For an rms
Bayesian fit object, plots posterior densities for selected parameters along with posterior mode, mean, median, and highest posterior density interval. If the fit was produced by stackMI
the density represents the distribution after stacking the posterior draws over imputations, and the per-imputation density is also drawn as pale curves. If exactly two parameters are being plotted and bivar=TRUE
, hightest bivariate posterior density contrours are plotted instead, for a variety of prob
values including the one specified, using
Usage
## S3 method for class 'rmsb'
plot(
x,
which = NULL,
nrow = NULL,
ncol = NULL,
prob = 0.95,
bivar = FALSE,
bivarmethod = c("ellipse", "kernel"),
...
)
Arguments
x |
an |
which |
names of parameters to plot, defaulting to all non-intercepts. Can instead be a vector of integers. |
nrow |
number of rows of plots |
ncol |
number of columns of plots |
prob |
probability for HPD interval |
bivar |
set to |
bivarmethod |
passed as |
... |
passed to |
Value
ggplot2
object
Author(s)
Frank Harrell