emcAdr (version 1.2)

qq_plot_output: Make a Quantile-Quantile diagram from the output of the MCMC algorithm (DistributionAproximation) and the algorithm that exhaustively calculates the distribution

Description

Make a Quantile-Quantile diagram from the output of the MCMC algorithm (DistributionAproximation) and the algorithm that exhaustively calculates the distribution

Usage

qq_plot_output(estimated, true, filtered = FALSE, color = "steelblue")

Value

no returned value, should plot the quantile-quantile plot of the estimated distribution (estimated) vs the true distribution (true).

Arguments

estimated

Outputed object of DistributionApproximation function

true

Outputed object of either DistributionApproximation function or True distribution computation function

filtered

Make use of the classic distributuion estimation or of the filtred one (number of patient taking the cocktail > beta)

color

The color of the dashed line of the qq-plot

Examples

# \donttest{
data("ATC_Tree_UpperBound_2024")
data("FAERS_myopathy")

estimated_score_distribution = DistributionApproximation(epochs = 10,
            ATCtree = ATC_Tree_UpperBound_2024,
            observations = FAERS_myopathy[1:100,], Smax =2)
            
true_score_distribution = trueDistributionSizeTwoCocktail(ATCtree = ATC_Tree_UpperBound_2024,
            observations = FAERS_myopathy[1:100,], beta = 4)

qq_plot_output(estimated = estimated_score_distribution,
                true = true_score_distribution)
# }