looCV_table

Function simply produces a table of MSE and cross-validated
MSE for any number of compared models. The table is sorted
from lowest to highest cross-validated MSE. The looCV objects
must use method = 'fit' or a table cannot be generated.

analysis

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

looCV_table function

<dl><dt>...</dt>
<dd>Any number of <code>looCV</code> objects</dd></dl>

Arguments

Author

Table for looCV comparisons — looCV_table

<dl>

<dt>...</dt>
<dd>Any number of <code>looCV</code> objects</dd>

</dl>

looCV_table: Table for looCV comparisons

Description

Usage

Arguments

Author

See Also

Examples