Dbinom

robust

Locations problems, M-estimates of coefficients and scale
in linear regression, Weights for bounded influence regression,
Covariance matrix of the coefficient estimates, Asymptotic
relative efficiency of regression M-estimates, Robust testing
in linear models, High breakdown point regression, M-estimates
of covariance matrices, M-estimates for discrete generalized
linear models.

A. Randriamiharisoa

robeth

R Functions for Robust Statistics

Dbinom function

<dl> <dt>y</dt>
<dd>See reference</dd> <dt>ci</dt>
<dd>See reference</dd> <dt>vtheta</dt>
<dd>See reference</dd> <dt>wa</dt>
<dd>See reference</dd> <dt>ni</dt>
<dd>See reference</dd> <dt>f0</dt>
<dd>See reference</dd> <dt>oi</dt>
<dd>See reference</dd> <dt>kap</dt>
<dd>See reference</dd></dl>

Arguments

Diagonal matrix D for the binomial case in discrete GLM — Dbinom

<dl>

 <dt>y</dt>
<dd>See reference</dd>

 <dt>ci</dt>
<dd>See reference</dd>

 <dt>vtheta</dt>
<dd>See reference</dd>

 <dt>wa</dt>
<dd>See reference</dd>

 <dt>ni</dt>
<dd>See reference</dd>

 <dt>f0</dt>
<dd>See reference</dd>

 <dt>oi</dt>
<dd>See reference</dd>

 <dt>kap</dt>
<dd>See reference</dd>

</dl>

Dbinom: Diagonal matrix D for the binomial case in discrete GLM

Description

Usage

Value

Arguments

References