Pred_Dens_ggPlot: Predictive Posterior density plots
In proto4426/PissoortThesis: Thesis in Extreme Value Theory

Description Usage Arguments Value Author(s) Examples

Compute a ggplot of the Density associated with the Posterior Predictive Distribution (PPD)

1	Pred_Dens_ggPlot(year, data_ppd, ylim = c(0.01, 0.55), xlim = c(27.5, 36))

`year`	numeric value giving the year for which we want to compute the predictive density
`data_ppd`	numeric matrix or df of size [n,p] containing the posterior predictive samples, where `n` is the number of simulated samples and `p` is the prediction horizon.
`ylim`	and `xlim` define the grid for the plot.

a ggplot

Antoine Pissoort, antoine.pissoort@student.uclouvain.be

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# For the PPD density plot of the year 2026 :
gg4 <- PissoortThesis::Pred_Dens_ggPlot(2026, repl2)
# where repl2 is the matrix containing the predictive samples (see Bayes_own_gev.R)