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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:  0.8.12
Date:     
BugReport: https://github.com/spedygiorgio/mbbefd/issues


> 
> #test of uniform distribution
> n <- 1e4
> 
> x <- roiunif(n, p1=1/2)
> y <- roiunif(n, p1=1/3)
> 
> #test CDF
> z <- 0:10/10
> cbind(ecdf(x)(z), poiunif(z, 1/2))
        [,1] [,2]
 [1,] 0.0000 0.00
 [2,] 0.0487 0.05
 [3,] 0.0962 0.10
 [4,] 0.1470 0.15
 [5,] 0.1964 0.20
 [6,] 0.2462 0.25
 [7,] 0.2960 0.30
 [8,] 0.3491 0.35
 [9,] 0.4003 0.40
[10,] 0.4487 0.45
[11,] 1.0000 1.00
> 
> cbind(ecdf(y)(z), poiunif(z, 1/3))
        [,1]       [,2]
 [1,] 0.0000 0.00000000
 [2,] 0.0691 0.06666667
 [3,] 0.1347 0.13333333
 [4,] 0.2029 0.20000000
 [5,] 0.2710 0.26666667
 [6,] 0.3384 0.33333333
 [7,] 0.4071 0.40000000
 [8,] 0.4721 0.46666667
 [9,] 0.5347 0.53333333
[10,] 0.6000 0.60000000
[11,] 1.0000 1.00000000
> 
> #total loss
> c(etl(x), tloiunif(1/2))
[1] 0.4989 0.5000
> c(etl(y), tloiunif(1/3))
[1] 0.3340000 0.3333333
> 
> #mean
> c(mean(x), moiunif(1, 1/2))
[1] 0.7518445 0.7500000
> c(mean(y), moiunif(1, 1/3))
[1] 0.6629736 0.6666667
> 
> 
> #test EC
> cbind(eecf(x)(z), ecoiunif(z, 1/2))
           [,1]      [,2]
 [1,] 0.0000000 0.0000000
 [2,] 0.1297395 0.1300000
 [3,] 0.2530001 0.2533333
 [4,] 0.3698812 0.3700000
 [5,] 0.4801499 0.4800000
 [6,] 0.5835903 0.5833333
 [7,] 0.6803856 0.6800000
 [8,] 0.7703460 0.7700000
 [9,] 0.8535930 0.8533333
[10,] 0.9301443 0.9300000
[11,] 1.0000000 1.0000000
> cbind(eecf(y)(z), ecoiunif(z, 1/3))
           [,1]  [,2]
 [1,] 0.0000000 0.000
 [2,] 0.1455858 0.145
 [3,] 0.2810443 0.280
 [4,] 0.4060692 0.405
 [5,] 0.5210258 0.520
 [6,] 0.6257380 0.625
 [7,] 0.7201718 0.720
 [8,] 0.8044705 0.805
 [9,] 0.8794584 0.880
[10,] 0.9447226 0.945
[11,] 1.0000000 1.000
> 
> 
> 
> #plots
> n <- 1e2
> x <- roiunif(n, p1=1/2)
> y <- roiunif(n, p1=1/3)
> 
> 
> plot(eecf(x), do.points=FALSE)
> v <- seq(0, 1, length=101)
> lines(v, ecoiunif(v, 1/2), lty=3, col="red")
> 
> 
> plot(eecf(y), do.points=FALSE)
> v <- seq(0, 1, length=101)
> lines(v, ecoiunif(v, 1/3), lty=3, col="red")
> 
> 
> proc.time()
   user  system elapsed 
   1.17    0.21    1.37