The fitting algorithms considered in this package have two major
objectives. One is to provide a smoothing device to fit distributions to
data using the weight and unweighted discretised approach based on the bin
width of the histogram. The other is to provide a definitive fit to the
data set using the maximum likelihood and quantile matching estimation.
Other methods such as moment matching, starship method, L moment matching
are also provided. Diagnostics on goodness of fit can be done via qqplots,
KS-resample tests and comparing mean, variance, skewness and kurtosis of
the data with the fitted
distribution.