R: Internal Functions

evd-internal {evd} | R Documentation

## Internal Functions

### Description

The evd package contains many internal functions that are not designed to be called by the user.

Plotting: The generic functions `dens`, `pp`, `qq` and `rl` create the diagnostic plots generated by `plot.uvevd`. Similarly, `bvdens`, `bvcpp`, `bvdp`, `bvqc` and `bvh` create the diagnostic plots generated by `plot.bvevd` and `plot.bvpot`.

Distribution: There are internal, simulation, distribution, density, dependence and spectral density functions for separate bivariate and multivariate parametric models, which are called from functions such as `abvevd` and `pmvevd`. Additionally, the three functions `mvalog.check` (checks and transforms asymmetry parameters), `subsets` (generates all subsets of a set) and `tvdepfn` (plots trivariate dependence functions) are called from functions associated with multivariate distributions.

Univariate Fitting: The fitting function `fgev` calls the internal functions `fgev.quantile` and `fgev.norm` for fits under different parameterizations. The fitting function `fpot` calls the internal functions `fpot.norm` and `fpot.quantile`.

Bivariate Fitting: For fitting bivariate distributions, internal functions exist for each model. For fitting bivariate threshold models, internal functions exist for the censored and (undocumented) point process likelihoods, and each of these calls a further internal function corresponding to the specified model. The functions `bvpost.optim` (post-optimisation processing), `bvstart.vals` (starting values) and `sep.bvdata` (separation of data) are additionally used in the fitting of bivariate distributions and bivariate threshold models.

[Package evd version 2.3-3 Index]