plot.fittedLogistic: Plot logistic model fitted to aoristic data

Description

Plot posterior estimates of fittedLogistic class objects.

Usage

# S3 method for fittedLogistic
plot(
  x,
  hpd = c(0.5, 0.9),
  minortick = NULL,
  ylim = NULL,
  xlab = NULL,
  ylab = "Probability Mass",
  calendar = "BP",
  col = "black",
  lwd = 1,
  lty = 2,
  col1 = "steelblue",
  col2 = "lightblue",
  pch = 20,
  plot.legend = TRUE,
  legend.arg = NULL,
  ...
)

Value

No return value (plot function)

Arguments

x: An fittedExp class object
hpd: A vector with two values defining the highest posterior density interval to display. Default is 0.5 and 0.9.
minortick: Interval for minor ticks in the x-axis label. Default is estimated based on timescale.
ylim: Limits of the y-axis. Default estimated from posterior ranges.
xlab: Label for the x-axis. Default based on calendar.
ylab: Label for the y-axis. Default is "Probability Mass".
calendar: Either 'BP' or 'BCAD'. Indicate whether the x-axis should be displayed in BP or BC/AD. Default is 'BP'.
col: Color of posterior mean. Default is black.
lwd: Line width posterior mean. Default is 1.
lty: Line type posterior mean. Default is 2.
col1: Fill color for the first (inner) HPD interval. Default is 'steelblue'.
col2: Fill color for the second (outer) HPD interval. Default is 'lightblue'.
pch: Point symbol used to display mean posteriors. Default is 20.
plot.legend: Logical indicating whether to display a legend or not (default is TRUE).
legend.arg: List containing arguments to be directed to the legend() function.
...: Additional arguments affecting the plot.