R Under development (unstable) (2024-07-10 r86888 ucrt) -- "Unsuffered Consequences"
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> library(fitdistrplus)
Loading required package: MASS
Loading required package: survival
> library(actuar)

Attaching package: 'actuar'

The following objects are masked from 'package:stats':

    sd, var

The following object is masked from 'package:grDevices':

    cm

> 
> set.seed(1234)
> 
> n <- 1e3
> 
> x <- rlgamma(n, 1, 1)
> fitdistrplus:::startarg_othercontinuous_actuar_family(x, "lgamma")
$shapelog
[1] 0.9538171

$ratelog
[1] 0.9603243

> fitdist(x, "lgamma")
Fitting of the distribution ' lgamma ' by maximum likelihood 
Parameters:
         estimate Std. Error
shapelog 1.000753 0.03940913
ratelog  1.007445 0.05087335
> 
> 
> x <- rgumbel(n, 1, 1)
> fitdistrplus:::startarg_othercontinuous_actuar_family(x, "gumbel")
$scale
[1] 1.009752

$alpha
[1] 0.997063

> fitdist(x, "gumbel")
Fitting of the distribution ' gumbel ' by maximum likelihood 
Parameters:
       estimate Std. Error
scale 1.0197296  0.0251320
alpha 0.9853615  0.0339739
> 
> 
> x <- rinvgauss(n, pi, 2*pi)
> fitdistrplus:::startarg_othercontinuous_actuar_family(x, "invgauss")
$mean
[1] 3.199838

$dispersion
[1] 0.1439096

> fitdist(x, "invgauss")
Fitting of the distribution ' invgauss ' by maximum likelihood 
Parameters:
            estimate  Std. Error
mean       3.1995736 0.069266474
dispersion 0.1465136 0.006552722
> 
> 
> x <- rgenbeta(n, 2, 2, 2, scale=2)
> fitdistrplus:::startarg_othercontinuous_actuar_family(x, "genbeta")
$shape1
[1] 2.355739

$shape2
[1] 16.23328

$shape3
[1] 3

$scale
[1] 2.914548

> fitdist(x, "genbeta", lower=0)
Fitting of the distribution ' genbeta ' by maximum likelihood 
Parameters:
         estimate Std. Error
shape1 14.7947393        NaN
shape2  1.9319992        NaN
shape3  0.3211336        NaN
scale   1.9923966        NaN
Warning messages:
1: In cov2cor(varcovar) :
  diag(V) had non-positive or NA entries; the non-finite result may be dubious
2: In sqrt(diag(varcovar)) : NaNs produced
> 
> proc.time()
   user  system elapsed 
   5.07    0.26    5.32