The package fitdistrplus provides functions for fitting univariate distributions to different types of data (continuous censored or non-censored data and discrete data) and allowing different estimation methods (maximum likelihood, moment matching, quantile matching and maximum goodness-of-fit estimation). Outputs of fitdist and fitdistcens functions are S3 objects, for which specific methods are provided, including summary, plot and quantile. This package also provides various functions to compare the fit of several distributions to the same data set and can handle to bootstrap parameter estimates. Detailed examples are given in food risk assessment, ecotoxicology and insurance contexts
"distr " is a package for R from version 1.8.1 onwards that is distributed under GPL licen...
The main objective of this master s degree thesis is to build a R package for the goodness-of-fit te...
The contributed R package Newdistns written by the authors is introduced. This package computes the ...
Package distrMod provides an object oriented (more specifically S4-style) implementation of probabil...
Often a real-world data set comprises only positive values in a unimodal distribution. The asymmetry...
To help with identifying distributions to effectively model univariate continuous data, the R functi...
The S4 concept ([1]) is a strong tool for writing unified algorithms. As an example for this in R ([...
The package BeyondBenford compares the goodness of fit of Benford's and Blondeau Da Silva's (BDS's) ...
In this paper, we introduce the R package gendist that computes the probability density function, th...
The CDF-quantile family of two-parameter distributions with support (0, 1) described in Smithson and...
Strengthened by examples taken from the scientific literature, this handbook provides statisticians ...
This report documents the usage of the routine FITS, which provides au-tomated fits of various analy...
robust influence curves We present some R-packages designed for a conceptual adaptation of infinites...
International audienceBackground and objectiveIn this paper, we introduce a new R package goftte for...
This paper explains the mipfp package for R with the core functionality of updating an d-dimensional...
"distr " is a package for R from version 1.8.1 onwards that is distributed under GPL licen...
The main objective of this master s degree thesis is to build a R package for the goodness-of-fit te...
The contributed R package Newdistns written by the authors is introduced. This package computes the ...
Package distrMod provides an object oriented (more specifically S4-style) implementation of probabil...
Often a real-world data set comprises only positive values in a unimodal distribution. The asymmetry...
To help with identifying distributions to effectively model univariate continuous data, the R functi...
The S4 concept ([1]) is a strong tool for writing unified algorithms. As an example for this in R ([...
The package BeyondBenford compares the goodness of fit of Benford's and Blondeau Da Silva's (BDS's) ...
In this paper, we introduce the R package gendist that computes the probability density function, th...
The CDF-quantile family of two-parameter distributions with support (0, 1) described in Smithson and...
Strengthened by examples taken from the scientific literature, this handbook provides statisticians ...
This report documents the usage of the routine FITS, which provides au-tomated fits of various analy...
robust influence curves We present some R-packages designed for a conceptual adaptation of infinites...
International audienceBackground and objectiveIn this paper, we introduce a new R package goftte for...
This paper explains the mipfp package for R with the core functionality of updating an d-dimensional...
"distr " is a package for R from version 1.8.1 onwards that is distributed under GPL licen...
The main objective of this master s degree thesis is to build a R package for the goodness-of-fit te...
The contributed R package Newdistns written by the authors is introduced. This package computes the ...