plot_over_self {hbamr}

Plot individual parameter estimates over self-placements

Description

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.