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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:  0.8.13
Date:     
BugReport: https://github.com/spedygiorgio/mbbefd/issues


> library(fitdistrplus)
> 
> n <- 1e3
> nboot <- 1000
> nboot <- 10
> set.seed(123456)
> x <- rMBBEFD(n, 8, 1/4)
> 
> system.time(f1 <- fitDR(x, "MBBEFD"))
   user  system elapsed 
   0.32    0.02    0.33 
> summary(f1)
Fitting of the distribution ' MBBEFD ' by maximum likelihood 
Parameters : 
     estimate  Std. Error
g 10.61863825 0.511546319
b  0.09417403 0.004009201
Loglikelihood:  -123.4709   AIC:  250.9419   BIC:  260.7574 
Correlation matrix:
            g           b
g  1.00000000 -0.08392064
b -0.08392064  1.00000000

> 
> #should be similar
> f0 <- fitdist(x, "MBBEFD", start= list(g=4, b=1/2))
> summary(f0)
Fitting of the distribution ' MBBEFD ' by maximum likelihood 
Parameters : 
   estimate Std. Error
g 8.2506946 0.68594487
b 0.2397682 0.04292387
Loglikelihood:  -106.5805   AIC:  217.1609   BIC:  226.9764 
Correlation matrix:
          g         b
g  1.000000 -0.813707
b -0.813707  1.000000

> 
> fitDR(x, "MBBEFD")
Fitting of the distribution ' MBBEFD ' by maximum likelihood 
Parameters:
     estimate  Std. Error
g 10.61863825 0.511546319
b  0.09417403 0.004009201
> mledist(x, "MBBEFD", start= list(g=4, b=1/2))$hessian
          g          b
g  6.290106   81.79305
b 81.793050 1606.34443
> 
> 
> cdfcomp(f1, do.points=FALSE)
> qqcomp(f1)
> 
> 
> 
> # llsurface(plot.min=c(1, 0), plot.max=c(11, 1/2), plot.arg=c("g", "b"), obs=x, distr="MBBEFD", nlevels=25)
> # points(f1$estimate["g"], f1$estimate["b"], pch="+", col="red")
> # points(8, 1/4, pch="x", col="black")
> 
> 
> b1 <- bootDR(f1, niter=nboot, silent=TRUE)
> plot(b1, enhance=TRUE, trueval=c(8, 1/4))
> 
> 
> set.seed(123456)
> x <- rMBBEFD(n, 2, 1/4)
> 
> system.time(f1 <- fitDR(x, "MBBEFD"))
   user  system elapsed 
   0.22    0.00    0.22 
> 
> 
> b1 <- bootDR(f1, niter=nboot, silent=TRUE)
> plot(b1, enhance=TRUE, trueval=c(2, 1/4))
> 
> 
> proc.time()
   user  system elapsed 
   7.65    0.50    8.09