Fitting Distributions to Given Data or Known Quantiles
GUI for fitting continuous distributions to given data
Choosing distribution by given quantiles
Fitting parameters of a Beta distribution from two or more quantiles
Fitting parameters of a Cauchy distribution from two or more quantiles
Fitting parameter of a chi-square distribution from one or more quanti...
Fitting parameters of a non-central chi-square distribution from one o...
Fitting parameters of an exponential distribution from one or more qua...
Fitting parameters of a F distribution from two or more quantiles
Fitting parameters of a gamma distribution from two or more quantiles
Fitting parameters of a Gompertz distribution from two or more quantil...
Fitting parameters of a hypergeometric distribution from three or more...
Fitting parameters of a lognormal distribution from two or more quanti...
Fitting parameters of a logistic distribution from two or more quantil...
Fitting parameters of a negative binomial distribution from two or mor...
Fitting parameters of normal distribution from two or more quantiles
Fitting standard deviation of a normal distribution from one or more q...
Fitting parameters of a pert distribution from four or more quantiles
Fitting parameter of Poisson distribution from one or more quantiles
Fitting parameter of a Student's t distribution from one or more quant...
Fitting parameters of truncated normal distribution from four or more ...
Fitting parameters of a triangular distribution from three or more qua...
Fitting parameters of a uniform distribution from two or more quantile...
Fitting parameters of a Weibull distribution from two or more quantile...
Graphical tools for choosing distribution by given quantiles
Fitting distributions to given data or known quantiles
Fitting univariate distributions by maximum likelihood or by matching ...
Fitting an amount of distribution families by given quantiles
Maximum likelihood fitting of univariate distributions
Fitting univariate distributions by matching moments
Fitting amount continuous distributions to given univariate data.
Collection of functions for fitting distributions to given data or by known quantiles. Two main functions fit.perc() and fit.cont() provide users a GUI that allows to choose a most appropriate distribution without any knowledge of the R syntax. Note, this package is a part of the 'rrisk' project.