confint_robust

Confidence interval for robust estimators

The Radiant Model menu includes interfaces for linear and logistic
regression, naive Bayes, neural networks, classification and regression trees,
model evaluation, collaborative filtering, decision analysis, and simulation.
The application extends the functionality in 'radiant.data'.

Vincent Nijs

radiant.model

Model Menu for Radiant: Business Analytics using R and Shiny

confint_robust function

<dl><dt>object</dt>
<dd>A fitted model object</dd>
<dt>level</dt>
<dd>The confidence level required</dd>
<dt>dist</dt>
<dd>Distribution to use ("norm" or "t")</dd>
<dt>vcov</dt>
<dd>Covariance matrix generated by, e.g., sandwich::vcovHC</dd>
<dt>...</dt>
<dd>Additional argument(s) for methods</dd></dl>

Arguments

Confidence interval for robust estimators — confint_robust

<dl>

<dt>object</dt>
<dd>A fitted model object</dd>


<dt>level</dt>
<dd>The confidence level required</dd>


<dt>dist</dt>
<dd>Distribution to use ("norm" or "t")</dd>


<dt>vcov</dt>
<dd>Covariance matrix generated by, e.g., sandwich::vcovHC</dd>


<dt>...</dt>
<dd>Additional argument(s) for methods</dd>

</dl>

confint_robust: Confidence interval for robust estimators

Description

Usage

Arguments

Details