unitweib.reg: Unit-Weibull regression models for proportions

In Compositional: Compositional Data Analysis

Unit-Weibull regression models for proportions

Description

Unit-Weibull regression models for proportions.

Usage

unitweib.reg(y, x, tau = 0.5)

Arguments

y	A numerical vector proportions. 0s and 1s are allowed.
x	A matrix or a data frame with the predictor variables.
tau	The quantile to be used for estimation. The default value is 0.5 yielding the median.

Details

See the reference paper.

Value

A list including:

loglik	The loglikelihood of the regression model.
info	A matrix with all estimated parameters, their standard error, their Wald-statistic and its associated p-value.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

Mazucheli J., Menezes A. F. B., Fernandes L. B., de Oliveira R. P. and Ghitany M. E. (2020). The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates. Journal of Applied Statistics, 47(6): 954–974.

See Also

propreg, beta.reg

Examples

y <- exp( - rweibull(100, 1, 1) )
x <- matrix( rnorm(100 * 2), ncol = 2 )
a <- unitweib.reg(y, x)

Compositional documentation built on Oct. 23, 2023, 5:09 p.m.