R Under development (unstable) (2025-07-02 r88374 ucrt) -- "Unsuffered Consequences"
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> require("fitdistrplus")
Loading required package: fitdistrplus
Loading required package: MASS
Loading required package: survival
> nsample <- 10
> 
> # (1) gamma
> x <- rgamma(nsample, 5/2, 7/2)
> 
> prefit(x, "gamma", "mle", list(shape=3, scale=3), lower=-Inf, upper=Inf, silent=TRUE, control=list(trace=1, REPORT=1))
initial  value 10.900085 
iter   2 value 7.602870
iter   3 value 4.709671
iter   4 value 1.215515
iter   5 value -0.898234
iter   6 value -0.903964
iter   7 value -0.997827
iter   8 value -1.077601
iter   9 value -1.322815
iter  10 value -1.351482
iter  11 value -1.352007
iter  12 value -1.352010
iter  13 value -1.352012
iter  14 value -1.352012
iter  14 value -1.352012
iter  14 value -1.352012
final  value -1.352012 
converged
$shape
[1] 1.929098

$scale
[1] 5.401177

> prefit(x, "gamma", "mle", list(shape=1, scale=1), lower=-Inf, upper=Inf, silent=TRUE)
$shape
[1] 1.929029

$scale
[1] 5.400921

> 
> prefit(x, "gamma", "mle", list(shape=3), fix.arg=list(scale=7/2), lower=-Inf, upper=Inf, silent=TRUE)
$shape
[1] 0.3997274

> 
> prefit(x, "gamma", "qme", list(shape=1, scale=1), probs=1:2/3, lower=-Inf, upper=Inf, silent=TRUE)
$shape
[1] 0.2370068

$scale
[1] 5.274836

> 
> prefit(x, "gamma", "mge", list(shape=1, scale=1), gof="CvM", lower=-Inf, upper=Inf, silent=TRUE)
$shape
[1] 1.473108

$scale
[1] 4.221697

> prefit(x, "gamma", "mge", list(shape=1, scale=1), gof="AD", lower=-Inf, upper=Inf, silent=TRUE)
$shape
[1] 1.45813

$scale
[1] 3.974695

> 
> # (2) geometric
> x <- rgeom(nsample, 1/7)
> prefit(x, "geom", "mle", list(prob=1/2), lower=-Inf, upper=Inf, silent=TRUE)
$prob
[1] 0.1162774

> tbx <- table(x)
> prefit(as.numeric(names(tbx)), "geom", "mle", list(prob=1/2), lower=-Inf, upper=Inf, silent=TRUE, weights=tbx)
$prob
[1] 0.1162774

> prefit(x, "geom", "qme", list(prob=1/2), probs=1/2, lower=-Inf, upper=Inf)
$prob
[1] 0.1278616

> 
> 
> # (3) Pareto
> require("actuar")
Loading required package: actuar

Attaching package: 'actuar'

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

    sd, var

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

    cm

> x  <-  rpareto(nsample, 6, 2)
> 
> prefit(x, "pareto", "mme", list(shape=10, scale=10), order=1:2, memp=function(x, order) mean(x^order), lower=-Inf, upper=Inf)
$shape
[1] 11.07944

$scale
[1] 2.172262

> 
> 
> proc.time()
   user  system elapsed 
   1.79    0.28    2.06