create_bayes_lm_data

This function "widens" focal-competitor data frames for use inside of
package modeling functions, where each <code>comp_sp</code> inside of the <code>comp</code>
list-column receives its own column with its associated total basal area.
This function is used internally by <code>comp_bayes_lm()</code> and
<code>predict.comp_bayes_lm()</code> exported as a convenience for
applications extending this package's functionality.

Code for fitting and assessing models for the growth of trees. In
particular for the Bayesian neighborhood competition linear regression model
of Allen (2020): methods for model fitting and generating fitted/predicted
values, evaluating the effect of competitor species identity using
permutation tests, and evaluating model performance using spatial
cross-validation.

Albert Y Kim

forestecology

Fitting and Assessing Neighborhood Models of the Effect of
Interspecific Competition on the Growth of Trees

Albert Y. Kim

David Allen

Simon Couch

create_bayes_lm_data function

<dl><dt>focal_vs_comp</dt>
<dd>data frame from <code>create_focal_vs_comp()</code></dd>
<dt>run_shuffle</dt>
<dd>boolean as to whether to run permutation test shuffle of
competitor tree species within a particular focal_ID</dd></dl>

Arguments

Create input data frame for Bayesian regression — create_bayes_lm_data

<dl>

<dt>focal_vs_comp</dt>
<dd>data frame from <code>create_focal_vs_comp()</code></dd>


<dt>run_shuffle</dt>
<dd>boolean as to whether to run permutation test shuffle of
competitor tree species within a particular focal_ID</dd>

</dl>

create_bayes_lm_data: Create input data frame for Bayesian regression

Description

Usage

Value

Arguments

See Also

Examples