Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
(Log)likelihood plot for a fit using maximum likelihood
(Log)likelihood surfaces or (log)likelihood curves
Maximum goodness-of-fit fit of univariate continuous distributions
Maximum likelihood fit of univariate distributions
Matching moment fit of univariate distributions
Maximum spacing estimation of univariate distributions
Plot of empirical and theoretical distributions for non-censored data
Plot of empirical and theoretical distributions for censored data
Pre-fitting procedure
Quantile matching fit of univariate distributions
Quantile estimation from a fitted distribution
Handling of data formated as in the survival package for use in fitdis...
Bootstrap simulation of uncertainty for non-censored data
Bootstrap simulation of uncertainty for censored data
Empirical cumulative distribution function with pointwise confidence i...
Danish reinsurance claim dataset
Datasets for the FAQ
Description of an empirical distribution for non-censored data
Detect bounds for density function
Fit of univariate distributions to non-censored data
Fitting of univariate distributions to censored data
Overview of the fitdistrplus
package
Goodness-of-fit statistics
Graphical comparison of multiple fitted distributions (for non-censore...
Graphical comparison of multiple fitted distributions for censored dat...
Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME), maximum goodness-of-fit estimation (MGE) and maximum spacing estimation (MSE) methods (available only for non-censored data). Weighted versions of MLE, MME, QME and MSE are available. See e.g. Casella & Berger (2002), Statistical inference, Pacific Grove, for a general introduction to parametric estimation.
Useful links