Plots the prediction error computed from a leave-one-out cross validation for ABC parameter inference.
plot_error(
true,
estimated,
transformation = "none",
param.name = NULL,
main = NULL
)a plot of the estimated value of the parameter (in the y-axis) versus the true parameter value (in the x-axis). A line marking the correspondence between the true and estimated values is also plotted. Thus, the closer the points are to that line, the lower the prediction error is.
is a numeric vector containing the true parameter values.
a numeric vector containing the estimated parameter values.
default is none. It can also be 'log' if you wish to transform both the true and estimated values using a log10 scale.
is an optional character input defining the name of the parameter you are looking at.
is a optional character argument that will be used as the title for the plot. If this input argument is not included, this function will do its best to create an appropriate title.
These plots help in visualizing the quality of the estimation and the effect of the chosen tolerance level or point estimate statistic.