R: Felix Distribution Family Function

felix {VGAM} | R Documentation

## Felix Distribution Family Function

### Description

Estimates the parameter of a Felix distribution by maximum likelihood estimation.

### Usage

    felix(lrate = extlogit(min = 0, max = 0.5), imethod = 1)

### Arguments

`lrate` | Link function for the parameter, called a below; see `Links` for more choices and for general information.
`imethod` | See `CommonVGAMffArguments`. Valid values are 1, 2, 3 or 4.

### Details

The Felix distribution is an important basic Lagrangian distribution. The density function is

f(y;a) = (1 / ((y-1)/2)!) * y^((y-3)/2) * a^((y-1)/2) * exp(-ay)

where y=1,3,5,… and 0 < a < 0.5. The mean is 1/(1-2a) (returned as the fitted values). Fisher scoring is implemented.

### 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

Consul, P. C. and Famoye, F. (2006) Lagrangian Probability Distributions, Boston, USA: Birkhauser.

### See Also

`dfelix`, `borel.tanner`.

### Examples

    fdata <- data.frame(y = 2 * rpois(n = 200, 1) + 1)  # Not real data!
    fit <- vglm(y ~ 1, felix, data = fdata, trace = TRUE, crit = "coef")
    coef(fit, matrix = TRUE)
    Coef(fit)
    summary(fit)

[Package VGAM version 1.0-3 Index]