目录

ExtDist: Extending the Range of Functions for Probability Distributions

A consistent, unified and extensible framework for estimation of parameters for probability distributions, including parameter estimation procedures that allow for weighted samples; the current set of distributions included are: the standard beta, the four-parameter beta, Burr, gamma, Gumbel, Johnson SB and SU, Laplace, logistic, normal, symmetric truncated normal, truncated normal, symmetric-reflected truncated beta, standard symmetric-reflected truncated beta, triangular, uniform, and Weibull distributions; decision criteria and selections based on these decision criteria.

Online version of documentation is available at GitHub Pages.

Notable updates

0.7-4 (2025-09-17)

Fixed a couple of errors in “Normal_trunc_ab” parameter estimation

0.7-1 (2023-01-16)

Long-standing bug in Weibull and gamma distributions was fixed:

  • for gamma distribution, scale parameter was passed as a rate in stats::*gamma calls

  • for Weibull distribution, stats::*gamma was called instead of stats::*weibull

关于

用于概率分布分析的R语言扩展包

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