R Under development (unstable) (2023-08-27 r85021 ucrt) -- "Unsuffered Consequences"
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> library(mbbefd)
Loading required package: fitdistrplus
Loading required package: MASS
Loading required package: survival
Loading required package: alabama
Loading required package: numDeriv
Loading required package: Rcpp
Package:  mbbefd
Version:  0.8.11
Date:     
BugReport: https://github.com/spedygiorgio/mbbefd/issues


> 
> #test of shifted truncated pareto distribution
> n <- 1e1
> 
> x <- rstpareto(n, 2)+0.01
> y <- rstpareto(n, 2)
> 
> #test CDF
> z <- 0:4/4
> ecdf(x)(z)
[1] 0.0 0.6 0.9 1.0 1.0
> 
> #test EC
> f <- function(d)
+   mean(pmin(x, d))/mean(x)
> rval <- Vectorize(f, "d")
> 
> cbind(eecf(x)(x), rval(x))
           [,1]      [,2]
 [1,] 0.4684651 0.4684651
 [2,] 0.7329646 0.7329646
 [3,] 0.9175180 0.9175180
 [4,] 0.6706209 0.6706209
 [5,] 0.4494321 0.4494321
 [6,] 0.1973738 0.1973738
 [7,] 0.9407556 0.9407556
 [8,] 0.4419607 0.4419607
 [9,] 1.0000000 1.0000000
[10,] 0.3530941 0.3530941
> cbind(eecf(x)(z), rval(z))
          [,1]      [,2]
[1,] 0.0000000 0.0000000
[2,] 0.7030013 0.7030013
[3,] 0.9610419 0.9610419
[4,] 1.0000000 1.0000000
[5,] 1.0000000 1.0000000
> 
> class(eecf(x))
[1] "eecf"     "function"
> class(ecdf(x))
[1] "ecdf"     "stepfun"  "function"
> 
> print(eecf(x))
Empirical Exposure Curve Function 
Call: eecf(x)
 x[1:10] = 0.048897, 0.091761, 0.11928,  ..., 0.44974, 0.59651
> print(ecdf(x))
Empirical CDF 
Call: ecdf(x)
 x[1:10] = 0.048897, 0.091761, 0.11928,  ..., 0.44974, 0.59651
> 
> cbind(eecf(x)(sort(x)), 
+ environment(eecf(x))$"Gx")
           [,1]      [,2]
 [1,] 0.1973738 0.1973738
 [2,] 0.3530941 0.3530941
 [3,] 0.4419607 0.4419607
 [4,] 0.4494321 0.4494321
 [5,] 0.4684651 0.4684651
 [6,] 0.6706209 0.6706209
 [7,] 0.7329646 0.7329646
 [8,] 0.9175180 0.9175180
 [9,] 0.9407556 0.9407556
[10,] 1.0000000 1.0000000
> 
> print(summary(eecf(x)))
Empirical Exposure Curve Function:    10 unique values with summary
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
 0.0489  0.1199  0.1799  0.2477  0.3829  0.5965 
> print(summary(ecdf(x)))
Empirical CDF:	  10 unique values with summary
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
 0.0489  0.1199  0.1799  0.2477  0.3829  0.5965 
> 
> plot(eecf(x))
> plot(ecdf(x))
> 
> 
> plot(eecf(x))
> plot(eecf(y), add=TRUE, col="red")
> lines(eecf(y[1:5]), col="green")
> 
> ?plot.eecf
> ?summary.eecf
> 
> proc.time()
   user  system elapsed 
   1.06    0.29    1.37