Plot individual parameter estimates over self-placements

Create a boxplot of individual parameter point estimates from an HBAM model over self-placements

Usage

plot_over_self(
  object,
  par = "chi",
  estimate = "median",
  names = NULL,
  parlabel = NULL,
  fill = "#2166AC",
  color = "#053061",
  width = 0.7,
  alpha = 0.5,
  outlier.size = 0.3,
  median_color = "black",
  median_lwd = 0.7
)

Arguments

object: An object of class stanfit produced by hbam(), a list produced by fbam(), or a list of such objects, which will produce a faceted plot.
par: Character: Name of the parameter to be plotted. One of the following: "alpha", "beta", "abs_beta", "lambda", or "chi". Defaults to "chi". Further individual-level parameters like "eta" can be specified if these have been passed to hbam() via the argument extra_pars when fitting the model. (Note that homoskedastic models have no "eta" parameters and "NF"-type models have no "lambda" or "kappa" parameters.)
estimate: Character: Specifying which type of posterior point estimate to use. One of "median" and "mean". Defaults to "median". This only applies for stanfit objects.
names: An optional character vector of model names of same length as the supplied list of models.
parlabel: An optional character containing an alternative label for the parameter (will be parsed if passed as an expression).
fill: Fill color of boxes. Passed on to ggplot2::geom_boxplot().
color: Color of outer lines. Passed on to ggplot2::geom_boxplot().
width: Width of boxes. Passed on to ggplot2::geom_boxplot().
alpha: Number in [0,1]: Inverse level of transparency for fill color.
outlier.size: Size of dots representing outliers. Passed on to ggplot2::geom_boxplot().
median_color: Color of solid line representing the median.
median_lwd: Thickness of solid line representing the median.

Value

A ggplot object.