CS2e | R Documentation |
The Cosine Sine Exponential family
CS2e(mu.link = "log", sigma.link = "log", nu.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. |
The Cosine Sine Exponential distribution with parameters mu
,
sigma
and nu
has density given by
f(x)=\frac{π σ μ \exp(\frac{-x} {ν})}{2 ν [(μ\sin(\frac{π}{2} \exp(\frac{-x} {ν})) + σ\cos(\frac{π}{2} \exp(\frac{-x} {ν}))]^2},
for x > 0, μ > 0, σ > 0 and ν > 0.
Returns a gamlss.family object which can be used to fit a CS2e distribution in the gamlss()
function.
Johan David Marin Benjumea, johand.marin@udea.edu.co
chesneau2018newRelDists
dCS2e
# Example 1 # Generating some random values with # known mu, sigma and nu y <- rCS2e(n=100, mu = 0.1, sigma =1, nu=0.5) # Fitting the model require(gamlss) mod <- gamlss(y~1, sigma.fo=~1, nu.fo=~1, family='CS2e', control=gamlss.control(n.cyc=5000, trace=FALSE)) # Extracting the fitted values for mu, sigma and nu # using the inverse link function exp(coef(mod, what='mu')) exp(coef(mod, what='sigma')) exp(coef(mod, what='nu')) # Example 2 # Generating random values under some model n <- 200 x1 <- runif(n, min=0.45, max=0.55) x2 <- runif(n, min=0.4, max=0.6) mu <- exp(0.2 - x1) sigma <- exp(0.8 - x2) nu <- 0.5 x <- rCS2e(n=n, mu, sigma, nu) mod <- gamlss(x~x1, sigma.fo=~x2, nu.fo=~1,family=CS2e, control=gamlss.control(n.cyc=50000, trace=FALSE)) coef(mod, what="mu") coef(mod, what="sigma") exp(coef(mod, what="nu"))
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