Description Usage Arguments Value References Examples
The log-likelihood function \ell_n(μ,φ,α)=\ln[L_n(μ,φ,α)] in the quantile-based asymmetric logistic distribution is presented in Gijbels et al. (2019a).
1 | LogLikALoD(y, mu, phi, alpha)
|
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. |
LogLikALoD
provides the value of the Log-likelihood function of the quantile-based asymmetric logistic distribution.
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.
1 2 3 | # Example
y<-rnorm(100)
LogLikALoD(y,mu=0,phi=1,alpha=0.5)
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