R Under development (unstable) (2024-02-22 r85974 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.

> 
> require(OneStep)
Loading required package: OneStep
Loading required package: fitdistrplus
Loading required package: MASS
Loading required package: survival
Loading required package: numDeriv
Loading required package: parallel
Loading required package: extraDistr
> require(actuar)
Loading required package: actuar

Attaching package: 'actuar'

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

    dgumbel, dinvgamma, dpareto, pgumbel, pinvgamma, ppareto, qgumbel,
    qinvgamma, qpareto, rgumbel, rinvgamma, rpareto

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

    sd, var

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

    cm

> 
> n <- 1e3
> 
> ####   G1 <- c("norm", "exp", "lnorm", "invgauss", "pois", "geom") # Distributions for which the explicit MLE is returned ####   
> 
> x <- rexp(n)
> benchonestep(x, "exp", c("mme", "mle")) 
           mme       mle
rate 0.9857856 0.9857856
time 0.0000000 0.0100000
> benchonestep(x, "exp", c("mm", "one")) 
           mme   onestep
rate 0.9857856 0.9857856
time 0.0000000 0.0000000
> 
> 
> ####   G3 <- c("gamma", "beta", "nbinom") # Distributions with a default MME initial guess estimator ####   
> 
> x <- rbeta(n, 3, 2)
> benchonestep(x, "beta", c("mme", "mle")) 
            mme      mle
shape1 3.102058 3.125098
shape2 1.968729 1.985666
time   0.000000 0.040000
> benchonestep(x, "beta", c("mle", "one")) 
            mle  onestep
shape1 3.125098 3.124751
shape2 1.985666 1.985502
time   0.030000 0.000000
> 
> proc.time()
   user  system elapsed 
   1.09    0.10    1.14