yulesimon: Yule-Simon Family Function

In VGAM: Vector Generalized Linear and Additive Models

Yule-Simon Family Function

Description

Estimating the shape parameter of the Yule-Simon distribution.

Usage

yulesimon(lshape = "loglink", ishape = NULL, nsimEIM = 200,
          zero = NULL)

Arguments

lshape	Link function for the shape parameter, called \rho below. See Links for more choices and for general information.
ishape	Optional initial value for the (positive) parameter. See CommonVGAMffArguments for more information. The default is to obtain an initial value internally. Use this argument if the default fails.
nsimEIM, zero	See CommonVGAMffArguments for more information.

Details

The probability function is

f(y;\rho) = \rho*beta(y,\rho+1),

where the parameter \rho>0, beta is the beta function, and y=1,2,\ldots. The function dyules computes this probability function. The mean of Y, which is returned as fitted values, is \rho/(\rho-1) provided \rho > 1. The variance of Y is \rho^2/((\rho-1)^2 (\rho-2)) provided \rho > 2.

The distribution was named after Udny Yule and Herbert A. Simon. Simon originally called it the Yule distribution. This family function can handle multiple responses.

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

Simon, H. A. (1955). On a class of skew distribution functions. Biometrika, 42, 425–440.

See Also

ryules, simulate.vlm.

Examples

ydata <- data.frame(x2 = runif(nn <- 1000))
ydata <- transform(ydata, y = ryules(nn, shape = exp(1.5 - x2)))
with(ydata, table(y))
fit <- vglm(y ~ x2, yulesimon, data = ydata, trace = TRUE)
coef(fit, matrix = TRUE)
summary(fit)

VGAM documentation built on Sept. 19, 2023, 9:06 a.m.