The `fitdistrplus` package in R provides a comprehensive set of functions for fitting univariate distributions to various types of data, including continuous censored or non-censored data and discrete data. It supports multiple estimation methods such as maximum likelihood, moment matching, quantile matching, and maximum goodness-of-fit estimation. The package includes functions for summarizing, plotting, and quantifying the fit of distributions, as well as bootstrapping parameter estimates. Detailed examples are provided in contexts such as food risk assessment, ecotoxicology, and insurance. The package aims to facilitate the distribution fitting process by offering a range of tools and methods, making it a valuable resource for statistical analysis in these fields.The `fitdistrplus` package in R provides a comprehensive set of functions for fitting univariate distributions to various types of data, including continuous censored or non-censored data and discrete data. It supports multiple estimation methods such as maximum likelihood, moment matching, quantile matching, and maximum goodness-of-fit estimation. The package includes functions for summarizing, plotting, and quantifying the fit of distributions, as well as bootstrapping parameter estimates. Detailed examples are provided in contexts such as food risk assessment, ecotoxicology, and insurance. The package aims to facilitate the distribution fitting process by offering a range of tools and methods, making it a valuable resource for statistical analysis in these fields.