aldmix: Asymmetric Laplace distribution
In qbld: Quantile Regression for Binary Longitudinal Data

Description Usage Arguments Details Value References See Also Examples

Cumulative density, probability distribution function, quantile function and random generation for the asymmetric Laplace distribution with quantile p, location parameter mu and scale parameter sigma.

raldmix(n, mu, sigma, p)

daldmix(x, mu = 0, sigma = 1, p = 0.5)

paldmix(q, mu = 0, sigma = 1, p = 0.5, lower.tail = TRUE)

qaldmix(prob, mu = 0, sigma = 1, p = 0.5, lower.tail = TRUE)

`n`	: number of observations
`mu`	: location parameter
`sigma`	: scale parameter
`p, prob`	: probability at which to calculate quantile
`x, q`	: vector of quantiles
`lower.tail`	: logical; decides b/w P(X<=p) or P(X>p) for p/q

The asymmetric Laplace distribution (ALD), which has the following pdf:

f(x;μ,σ,p) = p(1-p)/σ exp{-(x-μ)/σ (p-I(x ≤ μ))}

If not specified, p=0.5, mu = 0, sigma = 1.

raldmix returns a vector of random numbers from AL(mu,sigma,p).
daldmix returns returns density of AL(mu,sigma,p) at point x.
paldmix returns CDF prob of AL(mu,sigma,p) at quantile q.
qaldmix returns inverse CDF quantile of AL(mu,sigma,p) at prob.

Keming Yu & Jin Zhang (2005) A Three-Parameter Asymmetric Laplace Distribution and Its Extension, Communications in Statistics - Theory and Methods, 34:9-10, 1867-1879, DOI: 10.1080/03610920500199018

Kobayashi, Genya. (2011). Gibbs Sampling Methods for Bayesian Quantile Regression. J Stat Comput Simul. 81. 1565. 10.1080/00949655.2010.496117.

rgig for random sampling from GIG distribution

raldmix(n = 10, mu = 5, sigma = 10, p = 0.5)
daldmix(c(4,5),mu = 0,sigma = 1,p = 0.5)
paldmix(c(1,4),mu = 0,sigma = 1,p = 0.5,lower.tail=TRUE)
qaldmix(0.5,mu = 0,sigma = 1,p = 0.5,lower.tail=TRUE)