hzeta: Haight's Zeta Family Function

In VGAM: Vector Generalized Linear and Additive Models

Haight's Zeta Family Function

Description

Estimating the parameter of Haight's zeta distribution

Usage

hzeta(lshape = "logloglink", ishape = NULL, nsimEIM = 100)

Arguments

lshape	Parameter link function for the parameter, called \alpha below. See Links for more choices. Here, a log-log link keeps the parameter greater than one, meaning the mean is finite.
ishape, nsimEIM	See CommonVGAMffArguments for more information.

Details

The probability function is

f(y) = (2y-1)^{(-\alpha)} - (2y+1)^{(-\alpha)},

where the parameter \alpha>0 and y=1,2,\ldots. The function dhzeta computes this probability function. The mean of Y, which is returned as fitted values, is (1-2^{-\alpha}) \zeta(\alpha) provided \alpha > 1, where \zeta is Riemann's zeta function. The mean is a decreasing function of \alpha. The mean is infinite if \alpha \leq 1, and the variance is infinite if \alpha \leq 2.

Value

An object of class "vglmff" (see vglmff-class). The object is used by modelling functions such as vglm and vgam.

Author(s)

T. W. Yee

References

Johnson N. L., Kemp, A. W. and Kotz S. (2005). Univariate Discrete Distributions, 3rd edition, pp.533–4. Hoboken, New Jersey: Wiley.

See Also

Hzeta, zeta, zetaff, loglog, simulate.vlm.

Examples

shape <- exp(exp(-0.1))  # The parameter
hdata <- data.frame(y = rhzeta(n = 1000, shape))
fit <- vglm(y ~ 1, hzeta, data = hdata, trace = TRUE, crit = "coef")
coef(fit, matrix = TRUE)
Coef(fit)  # Useful for intercept-only models; should be same as shape
c(with(hdata, mean(y)), head(fitted(fit), 1))
summary(fit)

VGAM documentation built on Sept. 18, 2024, 9:09 a.m.