cdf.mix.dag: Cumulative Density Function of Dagum Mixture Distribution
In acid: Analysing Conditional Income Distributions

Description Usage Arguments Value Author(s) References See Also Examples

This function yields the cdf of a mixture distribution consisting of a point mass (at the lower end), a uniform distribution (above the point mass and below the Dagum distribution) and a Dagum distribution.

1	cdf.mix.dag(q, pi0, thres0 = 0, pi1, thres1, mu, sigma, nu, tau)

`q`	a vector of quantiles.
`pi0`	the probability mass at thres0.
`thres0`	the location of the probability mass at the lower end of the distribution.
`pi1`	the probability mass of the uniform distribution.
`thres1`	the upper bound of the uniform distribution.
`mu`	the parameter mu of the Dagum distribution as defined by the function GB2.
`sigma`	the parameter sigma of the Dagum distribution as defined by the function GB2.
`nu`	the parameter nu of the Dagum distribution as defined by the function GB2.
`tau`	the parameter tau of the Dagum distribution as defined by the function GB2.

returns the cumulative density for the given quantiles.

Alexander Sohn

Sohn, A., Klein, N. and Kneib. T. (2014): A New Semiparametric Approach to Analysing Conditional Income Distributions, in: SOEPpapers, No. 676.

gamlss.dist , gamlss.family

pi0.s<-0.2
pi1.s<-0.1
thres0.s<-0
thres1.s<-25000
mu.s<-20000
sigma.s<-5
nu.s<-0.5
tau.s<-1

cdf.mix.dag(50000,pi0.s,thres0.s,pi1.s,thres1.s,mu.s,sigma.s,nu.s,tau.s)