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.
mle_plot_observed(
x,
yvar,
annotate = TRUE,
lab_x = "Observed",
lab_y = "Predicted",
...
)
A ggplot
object displaying the observed vs. predicted values,
with optional annotations for \(R^2\) and regression slope.
List with the results of the simulated annealing algorithm for Maximum
Likelihood Estimation. See likelihood::anneal()
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
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
The text for the x-axis lab
The text for the y-axis lab
other ggplot2 parameters