predict.lm2

The statistical tools in this package do one of four things:
1) Enhance basic statistical functions with more
flexible inputs, smarter defaults, and richer, clearer, and ready-to-use
output (e.g., t.test2())
2) Produce publication-ready commonly needed figures with one line of code (e.g., plot_cdf())
3) Implement novel analytical tools developed by the authors (e.g., twolines())
4) Deliver niche functions of high value to the authors that are not easily
available elsewhere (e.g., clear(), convert_to_sql(), resize_images()).

Uri Simonsohn

statuser

Statistical Tools Designed for End Users

predict.lm2 function

<dl><dt>object</dt>
<dd>An object of class <code>lm2</code></dd>
<dt>newdata</dt>
<dd>An optional data frame in which to look for variables with 
which to predict. If omitted, the original model data is used.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>predict.lm_robust</code>,
including <code>se.fit</code> and <code>interval</code>.</dd></dl>

Arguments

Predict method for lm2 objects — predict.lm2

<dl>

<dt>object</dt>
<dd>An object of class <code>lm2</code></dd>


<dt>newdata</dt>
<dd>An optional data frame in which to look for variables with 
which to predict. If omitted, the original model data is used.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>predict.lm_robust</code>,
including <code>se.fit</code> and <code>interval</code>.</dd>

</dl>

predict.lm2: Predict method for lm2 objects

Description

Usage

Value

Arguments