The fitdistrplus R package provides functions for fitting univariate distributions to various types of data, including continuous and discrete data, and supports multiple estimation methods such as maximum likelihood, moment matching, quantile matching, and maximum goodness-of-fit. It allows users to compare the fit of different distributions to the same dataset and perform bootstrap parameter estimation. The package includes functions for summarizing, plotting, and quantile estimation of fitted distributions. It is particularly useful in fields like food risk assessment, ecotoxicology, and insurance. The package supports both non-censored and censored data, with specific functions for handling left-, right-, and interval-censored data. It also allows for custom optimization methods and provides goodness-of-fit statistics to evaluate distribution fits. The package is available on CRAN and includes detailed examples and functions for fitting distributions to various datasets.The fitdistrplus R package provides functions for fitting univariate distributions to various types of data, including continuous and discrete data, and supports multiple estimation methods such as maximum likelihood, moment matching, quantile matching, and maximum goodness-of-fit. It allows users to compare the fit of different distributions to the same dataset and perform bootstrap parameter estimation. The package includes functions for summarizing, plotting, and quantile estimation of fitted distributions. It is particularly useful in fields like food risk assessment, ecotoxicology, and insurance. The package supports both non-censored and censored data, with specific functions for handling left-, right-, and interval-censored data. It also allows for custom optimization methods and provides goodness-of-fit statistics to evaluate distribution fits. The package is available on CRAN and includes detailed examples and functions for fitting distributions to various datasets.