# tweedie-internal: Tweedie internal function In tweedie: Evaluation of Tweedie Exponential Family Models

## Description

Internal tweedie functions.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13``` ``` 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) twpdf(p, phi, y, mu, exact, verbose, funvalue, exitstatus, relerr, its ) twcdf(p, phi, y, mu, exact, funvalue, exitstatus, relerr, its ) ```

## Arguments

 `y` the vector of responses `power` the value of power such that the variance is var(Y) = phi * mu^power `mu` the mean `phi` the dispersion `grid` the interpolation grid necessary for the given value of power `nx` the number of interpolation points in the xi dimension `np` the number of interpolation points in the power 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). `p` the Tweedie index parameter `exact` a flag for the FORTRAN to use exact-zeros acceleration algorithmic the calculation (1 means to do so) `verbose` a flag for the FORTRAN: 1 means to be verbose `funvalue` the value of the call returned by the FORTRAN code `exitstatus` the exit status returned by the FORTRAN code `relerr` an estimation of the relative error returned by the FORTRAN code `its` the number of iterations of the algorithm returned by the FORTRAN code

## Details

These are not to be called by the user.

## Author(s)

Peter Dunn ([email protected])

## References

Nelder, J. A. and Pregibon, D. (1987). An extended quasi-likelihood function Biometrika, 74(2), 221–232. doi10.1093/biomet/74.2.221

tweedie documentation built on Nov. 17, 2017, 7:03 a.m.