R Under development (unstable) (2024-07-10 r86888 ucrt) -- "Unsuffered Consequences"
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> require(fitdistrplus)
Loading required package: fitdistrplus
Loading required package: MASS
Loading required package: survival
> visualize <- FALSE # TRUE for manual tests with visualization of results
> nsample <- 10000
> nsample <- 10
> 
> # (1) tests with the Burr distribution (three parameters)
> #
> if(any(installed.packages()[, "Package"] == "actuar"))
+ {
+   require(actuar)
+   
+   data(endosulfan)
+   ATV <-endosulfan$ATV
+   library("actuar")
+   fBurr <- fitdist(ATV, "burr", start = list(shape1 = 0.3, shape2 = 1, rate = 1))
+   llplot(fBurr)
+   
+   fBurr2 <- fitdist(ATV, "burr", start = list(shape1 = 0.3, shape2 = 1),
+                     fix.arg = list(rate = 1.5))
+   llplot(fBurr2)
+   
+   fBurr3 <- fitdist(ATV, "burr", start = list(shape1 = 0.3, rate = 1),
+                     fix.arg = list(shape2 = 1.5))
+   llplot(fBurr3)
+ }
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

> 
> 
> # (2) An example on discrete data with or without weights
> #
> set.seed(1234)
> x <- rpois(nsample, 10)
> xtab <- table(x)
> xval <- sort(unique(x))
> f1 <- fitdist(x, "pois")
> f2 <- fitdist(xval, "pois", weights = xtab)
Warning message:
In mledist(data, distname, start = arg_startfix$start.arg, fix.arg = arg_startfix$fix.arg,  :
  weights are not taken into account in the default initial values
> 
> f1$estimate
lambda 
   8.4 
> f2$estimate # should give the same
lambda 
   8.4 
> llplot(f1, fit.show = TRUE)
> llplot(f2, fit.show = TRUE) # should give the same
> llplot(f1, loglik = FALSE, fit.show = TRUE)
> llplot(f2, loglik = FALSE,fit.show = TRUE) # should give the same
> 
> # (3) An example on censored data with or without weights
> #
> if(visualize)
+ {
+   data(salinity)
+   salinity.unique <- unique(salinity)
+   string.unique <- paste(salinity.unique$left, salinity.unique$right)
+   string.salinity <- paste(salinity$left, salinity$right)
+   nobs <- nrow(salinity.unique)
+   salinity.weights <- numeric(nobs)
+   for (i in 1:nobs)
+   {
+     salinity.weights[i] <- length(which(string.salinity == string.unique[i]))
+   }
+   cbind(salinity.unique, salinity.weights)
+   
+   (fa <- fitdistcens(salinity, "lnorm"))
+   (fb <- fitdistcens(salinity.unique, "lnorm", weights = salinity.weights))
+   llplot(fa, fit.show = TRUE)
+   llplot(fb, fit.show = TRUE) # should give the same
+   llplot(fa, fit.show = TRUE, loglik = FALSE)
+   llplot(fb, fit.show = TRUE, loglik = FALSE) # should give the same
+   
+ }
> 
> proc.time()
   user  system elapsed 
   3.26    0.45    3.64