univariate_continuous_addin: Univariate continuous distribution gadget

In bearloga/tinydensR: Interactive Visualization of Probability Distributions

Description

This gadget lets you choose the parameters of a univariate, continuous distribution easily.

Usage

univariate_continuous_addin()

Details

For certain distributions, it supports multiple parameterization options. For example, the Beta distribution has two parameterizations: the classic one with shape parameters and a more intuitive one using the expectation and precision as proposed by Ferrari and Cribari-Neto (2004).

For distributions other than Beta, there is an option to customize x-axis limits.

For the Student-t and Weibull distributions, there is an option to customize the upper limit of the y-axis.

Value

A named vector containing the chosen parameter value(s).

References

Ferrari, S., & Cribari-Neto, F. (2004). Beta regression for modelling rates and proportions. Journal of Applied Statistics.

bearloga/tinydensR documentation built on March 7, 2020, 11:03 a.m.