R Under development (unstable) (2024-10-16 r87241 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> 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


> library(fitdistrplus)
> 
> n <- 1e3
> nboot <- 1000
> nboot <- 10
> set.seed(123456)
> lossrate <- rmbbefd(n, 1/2, 1/10)
> 
> f1 <- fitDR(lossrate, "mbbefd")
> 
> summary(f1)
Fitting of the distribution ' mbbefd ' by maximum likelihood 
Parameters : 
   estimate Std. Error
a 0.5547814         NA
b 0.1069314         NA
Loglikelihood:  -553.0793   AIC:  1110.159   BIC:  1119.974 
Correlation matrix:
[1] NA

> cdfcomp(f1, do.points=FALSE)
> qqcomp(f1)
> 
> 
> # llsurface(plot.min=c(0, 0), plot.max=c(2, 1/2), plot.arg=c("a", "b"), obs=lossrate, distr="mbbefd", nlevels=25)
> # points(f1$estimate["a"], f1$estimate["b"], pch="+", col="red")
> # points(1/2, 1/10, pch="x", col="black")
> 
> b1 <- bootDR(f1, niter=nboot, silent=TRUE)
> plot(b1, enhance=TRUE, trueval=c(1/2, 1/10))
> 
> 
> f2 <- fitDR(lossrate, "mbbefd", method="tlmme")
> summary(f2)
Parameters : 
    estimate Std. Error
a -0.9999816         NA
b  1.0000402         NA
Loglikelihood:  -671.1798   AIC:  1346.36   BIC:  1356.175 
Correlation matrix:
[1] NA

> 
> 
> 
> set.seed(123456)
> lossrate <- rmbbefd(n, -1/2, 5)
> 
> 
> f1 <- fitDR(lossrate, "mbbefd")
> summary(f1)
Fitting of the distribution ' mbbefd ' by maximum likelihood 
Parameters : 
   estimate Std. Error
a -0.497053         NA
b  5.370151         NA
Loglikelihood:  -549.6746   AIC:  1103.349   BIC:  1113.165 
Correlation matrix:
[1] NA

> 
> b1 <- bootDR(f1, niter=nboot, silent=TRUE)
> plot(b1, enhance=TRUE, trueval=c(-1/2, 5))
> 
> 
> proc.time()
   user  system elapsed 
   5.28    0.37    5.57