Discretised Beta Distribution

Tools for working with a new versatile discrete distribution, the db ("discretised Beta") distribution. This package provides density (probability), distribution, inverse distribution (quantile) and random data generation functions for the db family. It provides functions to effect conveniently maximum likelihood estimation of parameters, and a variety of useful plotting functions. It provides goodness of fit tests and functions to calculate the Fisher information, different estimates of the hessian of the log likelihood and Monte Carlo estimation of the covariance matrix of the maximum likelihood parameter estimates. In addition it provides analogous tools for working with the beta-binomial distribution which has been proposed as a competitor to the db distribution.


Reference manual

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0.0-22 by Rolf Turner, 5 months ago

Browse source code at https://github.com/cran/dbd

Authors: Rolf Turner <[email protected]>

Documentation:   PDF Manual  

GPL (>= 2) license

Suggests hmm.discnp, MASS, rmutil, spcadjust

See at CRAN