Bayesian version of the CDI plot (depreciated)

Bayesian version of the CDI plot (depreciated)

Usage

plot_bayesian_cdi2(
  fit,
  xfocus = "area",
  yfocus = "fishing_year",
  hurdle = FALSE,
  xlab = "Month",
  ylab = "Fishing year",
  colour = "purple"
)

Arguments

fit

a model fit

xfocus

The column name of the variable to be plotted on the x axis. This column name must match one of the column names in the data.frame that was passed to brm as the data argument.

yfocus

The column name of the variable to be plotted on the y axis. This column name must match one of the column names in the data.frame that was passed to brm as the data argument. This is generally the temporal variable in a generalised linear model (e.g. year).

hurdle

if a hurdle model then use the hurdle

xlab

the x axis label

ylab

the y axis label

colour

the colour to use in the plot

Value

a ggplot object