# LogLikAND: Log-likelihood function for the quantile-based asymmetric... In QBAsyDist: Asymmetric Distributions and Quantile Estimation

## Description

The log-likelihood function \ell_n(μ,φ,α)=\ln[L_n(μ,φ,α)] in the quantile-based asymmetric normal distribution is presented in Gijbels et al. (2019a).

## Usage

 1 LogLikAND(y, mu, phi, alpha) 

## Arguments

 y This is a vector of quantiles. mu This is the location parameter μ. phi This is the scale parameter φ. alpha This is the index parameter α.

## Value

LogLikAND provides the value of the Log-likelihood function of the quantile-based asymmetric normal distribution.

## References

Gijbels, I., Karim, R. and Verhasselt, A. (2019a). On quantile-based asymmetric family of distributions: properties and inference. International Statistical Review, https://doi.org/10.1111/insr.12324.

## Examples

 1 2 3 # Example y<-rnorm(100) LogLikAND(y,mu=0,phi=1,alpha=0.5) 

QBAsyDist documentation built on Sept. 4, 2019, 1:05 a.m.