tweedie (version 2.1.1)

Tweedie internals: Tweedie internal function

Description

Internal tweedie functions.

Usage

dtweedie.dlogfdphi(y, mu, phi, power)
	dtweedie.logl(phi, y, mu, power)
	dtweedie.logl.saddle( phi, power, y, mu, eps=0)
	dtweedie.logv.bigp( y, phi, power)
	dtweedie.logw.smallp(y, phi, power)
	dtweedie.interp(grid, nx, np, xix.lo, xix.hi,p.lo, p.hi, power, xix)
	dtweedie.jw.smallp(y, phi, power )
	dtweedie.kv.bigp(y, phi, power)
	dtweedie.series.bigp(power, y, mu, phi)
	dtweedie.series.smallp(power, y, mu, phi)
	stored.grids(power)

Arguments

y
the vector of responses
power
the value of $p$ such that the variance is $\mbox{var}[Y]=\phi\mu^p$
mu
the mean
phi
the dispersion
grid
the interpolation grid necessary for the given value of $p$
nx
the number of interpolation points in the $\xi$ dimension
np
the number of interpolation points in the $p$ dimension
xix.lo
the lower value of the transformed $\xi$ value used in the interpolation grid. (Note that the value of $\xi$ is from $0$ to $\infty$, and is transformed such that it is on the range $0$ to $1$.)
xix.hi
the higher value of the transformed $\xi$ value used in the interpolation grid.
p.lo
the lower value of $p$ value used in the interpolation grid.
p.hi
the higher value of $p$ value used in the interpolation grid.
xix
the value of the transformed $\xi$ at which a value is sought.
eps
the offset in computing the variance function in the saddlepoint approximation. The default is eps=1/6 (as suggested by Nelder and Pregibon, 1987).

Details

These are not to be called by the user.

References

Nelder, J. A. and Pregibon, D. (1987). An extended quasi-likelihood function Biometrika, 74(2), 221--232.