debug: Internal function

In rauschenberger/semisup: Semi-Supervised Mixture Model

Description

This function verifies whether the arguments fulfill some formal requirements.

Usage

debug(y, z, dist, phi, pi, gamma, test, iter, kind, ...)

Arguments

y	observations: numeric vector of length n
z	class labels: integer vector of length n, with entries 0, 1 and NA
dist	distributional assumption: character "norm" (Gaussian), "nbinom" (negative bionomial), or "zinb" (zero-inflated negative binomial)
phi	dispersion parameters: numeric vector of length q, or NULL
pi	zero-inflation parameter(s): numeric vector of length q, or NULL
gamma	offset: numeric vector of length n, or NULL
test	resampling procedure: character "perm" (permutation) or "boot" (parametric bootstrap), or NULL
iter	(maximum) number of resampling iterations : positive integer, or NULL
kind	resampling accuracy: numeric between 0 and 1, or NULL; all p-values above kind are approximate
...	settings EM algorithm: starts, it.em and epsilon (see arguments)

Details

If one or more entries of z are equal to 1, the mixture model can be fitted but not tested. Accordingly, kind is replaced by NULL.

Resampling-based testing cannot reach p-values below 1/iter. If kind is smaller than 1/iter, it is replaced by 0.

Value

This function returns warnings and errors. It also returns kind (see details).

See Also

This is an internal function. The user functions are mixtura and scrutor.

Examples

NULL

rauschenberger/semisup documentation built on May 11, 2020, 4 p.m.