BETA {convdistr}R Documentation

Factory for a BETA distribution object

Description

Returns an BETA distribution object that produce random numbers from a beta distribution using the rbeta function

Usage

new_BETA(p_shape1, p_shape2, p_dimnames = "rvar")

new_BETA_lci(p_mean, p_lci, p_uci, p_dimnames = "rvar")

new_BETA_lci2(p_mean, p_lci, p_uci, p_dimnames = "rvar")

Arguments

p_shape1

non-negative parameters of the Beta distribution

p_shape2

non-negative parameters of the Beta distribution

p_dimnames

A character that represents the name of the dimension

p_mean

A numeric that represents the expected value of the proportion

p_lci

A numeric for the lower 95% confidence interval

p_uci

A numeric for the upper 95% confidence interval

Value

An object of class DISTRIBUTION, BETA

Functions

Note

When using confidence intervals, the shape parameters are obtained using the following formula:

varp = (p_uci-p_lci)/4^2

shape1 = p_mean * (p_mean * (1 - p_mean) / varp - 1)

shape2 =(1 - p_mean) * (p_mean * (1 - p_mean) / varp - 1)

new_BETA_lci2 estimate parameters using maximum likelihood myDistr <- new_BETA_lci2(0.30,0.25,0.35) myDistr$rfunc(10)

Author(s)

John J. Aponte

Examples

myDistr <- new_BETA(1,1)
myDistr$rfunc(10)
myDistr <- new_BETA_lci(0.30,0.25,0.35)
myDistr$rfunc(10)

[Package convdistr version 1.5.3 Index]