The Beta Generalized Exponentiated family
BGE(mu.link = "log", sigma.link = "log", nu.link = "log", tau.link = "log")
mu.link
: defines the mu.link, with "log" link as the default for the mu parameter.sigma.link
: defines the sigma.link, with "log" link as the default for the sigma.nu.link
: defines the nu.link, with "log" link as the default for the nu parameter.tau.link
: defines the tau.link, with "log" link as the default for the tau parameter.Returns a gamlss.family object which can be used to fit a BGE distribution in the gamlss()
function.
The Beta Generalized Exponentiated distribution with parameters mu
, sigma
, nu
and tau
has density given by
for , , , and .
# Generating some random values with # known mu, sigma, nu and tau y <- rBGE(n=100, mu = 1.5, sigma =1.7, nu=1, tau=1) # Fitting the model require(gamlss) mod <- gamlss(y~1, sigma.fo=~1, nu.fo=~1, tau.fo=~1, family=BGE, control=gamlss.control(n.cyc=5000, trace=FALSE)) # Extracting the fitted values for mu, sigma, nu and tau # using the inverse link function exp(coef(mod, what='mu')) exp(coef(mod, what='sigma')) exp(coef(mod, what='nu')) exp(coef(mod, what='tau')) # Example 2 # Generating random values under some model n <- 200 x1 <- runif(n, min=0.4, max=0.6) x2 <- runif(n, min=0.4, max=0.6) mu <- exp(0.5 - x1) sigma <- exp(0.8 - x2) nu <- 1 tau <- 1 x <- rBGE(n=n, mu, sigma, nu, tau) mod <- gamlss(x~x1, sigma.fo=~x2, nu.fo=~1, tau.fo=~1, family=BGE, control=gamlss.control(n.cyc=5000, trace=FALSE)) coef(mod, what="mu") coef(mod, what="sigma") exp(coef(mod, what="nu")) exp(coef(mod, what="tau"))
Rdpack::insert_ref(key="almalki2014modifications",package="RelDists")
Rdpack::insert_ref(key="barreto2010beta",package="RelDists")
dBGE
Johan David Marin Benjumea, johand.marin@udea.edu.co