FWE | R Documentation |
The function FWE()
defines the Flexible Weibull distribution, a two parameter
distribution, for a gamlss.family
object to be used in GAMLSS fitting
using the function gamlss()
.
FWE(mu.link = "log", sigma.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. |
The Flexible Weibull extension with parameters mu
and sigma
has density given by
f(x) = (\mu + \sigma/x^2) exp(\mu x - \sigma/x) exp(-exp(\mu x-\sigma/x))
for x>0.
Returns a gamlss.family object which can be used to fit a FWE distribution in the gamlss()
function.
# Example 1
# Generating some random values with
# known mu and sigma
y <- rFWE(n=100, mu=0.75, sigma=1.3)
# Fitting the model
require(gamlss)
mod <- gamlss(y~1, sigma.fo=~1, family="FWE")
# Extracting the fitted values for mu and sigma
# using the inverse link function
exp(coef(mod, what="mu"))
exp(coef(mod, what="sigma"))
# Example 2
# Generating random values under some model
n <- 200
x1 <- runif(n)
x2 <- runif(n)
mu <- exp(1.21 - 3 * x1)
sigma <- exp(1.26 - 2 * x2)
y <- rFWE(n=n, mu=mu, sigma=sigma)
mod <- gamlss(y~x1, sigma.fo=~x2, family=FWE)
coef(mod, what="mu")
coef(mod, what="sigma")
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