Plots Observed vs. Predicted MLE — mle_plot

Plots observed values vs. predicted values. The predicted values are obtained from the model with the parameters values estimated by maximum likelihood estimation using simulated annealing.

Usage

mle_plot_observed(
  x,
  yvar,
  annotate = TRUE,
  lab_x = "Observed",
  lab_y = "Predicted",
  ...
)

Arguments

x: List with the results of the simulated annealing algorithm for Maximum Likelihood Estimation. See likelihood::anneal()
yvar: The name of the column that contains the dependent variable (the “observed” value). This column must be present in the source_data of the x (results) list
annotate: logical (default to TRUE), display the values of \(R^2\) and slope of the regression of the observed on predicted values. See likelihood::Simulated Annealing Algorithm
lab_x: The text for the x-axis lab
lab_y: The text for the y-axis lab
...: other ggplot2 parameters

Value

A ggplot object displaying the observed vs. predicted values, with optional annotations for \(R^2\) and regression slope.