coef.lmm.rrpp

The coef.lmm.rrpp function computes 
combined fixed and random effects by subject for 
<code>lmm.rrpp</code> model fits. This function does not operate the same as
<code>coef.lm.rrpp</code>, for which coefficients and fixed effects are the same,
and tests can be performed on fixed effects. It is merely a wrapper to combine 
the results of <code>ranef.lmm.rrpp</code> and <code>fixef.lmm.rrpp</code>.

utilities

Linear model calculations are made for many random versions of data.
Using residual randomization in a permutation procedure, sums of squares are
calculated over many permutations to generate empirical probability distributions
for evaluating model effects.  Additionally, coefficients, statistics, fitted values, and residuals generated over many
permutations can be used for various procedures including pairwise tests, prediction, classification, and
model comparison.  This package should provide most tools one could need for the analysis of
high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.

Michael Collyer

RRPP

Linear Model Evaluation with Randomized Residuals in a
Permutation Procedure

Dean Adams

coef.lmm.rrpp function

<dl><dt>object</dt>
<dd>Object from <code>lmm.rrpp</code></dd>
<dt>type</dt>
<dd>Whether to combine coefficients in a matrix or a list by variable.</dd>
<dt>...</dt>
<dd>Other arguments (currently none)</dd></dl>

Arguments

Author

coef for lmm.rrpp model fits — coef.lmm.rrpp

<dl>

<dt>object</dt>
<dd>Object from <code>lmm.rrpp</code></dd>


<dt>type</dt>
<dd>Whether to combine coefficients in a matrix or a list by variable.</dd>


<dt>...</dt>
<dd>Other arguments (currently none)</dd>

</dl>

coef.lmm.rrpp: coef for lmm.rrpp model fits

Description

Usage

Arguments

Author