u/KarunaGReddy

Hi r/rstats,

My colleague and I just published FitVerse on CRAN. It fits parametric probability distributions to continuous data, covering 52 distribution families with three estimation methods: MLE, Method of Moments, and L-Moments.

The basic usage is just:

install.packages("FitVerse")
library(FitVerse)

x &lt;- as.numeric(precip)
fit &lt;- fitverse(x, xlab = "Annual precipitation (inches)")

It automatically ranks all distributions by AIC/BIC, runs four goodness-of-fit tests, and produces a diagnostic plot. It also includes bootstrap confidence intervals, return levels, batch fitting, report generation, and a built-in Shiny app.

Full write-up here: https://rpubs.com/KarunaGReddy/FitVerse

CRAN: https://cran.r-project.org/package=FitVerse

Happy to answer any questions!

[ Removed by moderator ]

Introducing FitVerse: an R package for fitting and analysing 52 probability distributions in one call