predict.mvgls

Returns the prediction(s) of a linear model of class 'mvgls'.

predict

Fits multivariate (Brownian Motion, Early Burst, ACDC, Ornstein-Uhlenbeck and Shifts) models of continuous traits evolution on trees and time series. 'mvMORPH' also proposes high-dimensional multivariate comparative tools (linear models using Generalized Least Squares and multivariate tests) based on penalized likelihood. See
Clavel et al. (2015) <DOI:10.1111/2041-210X.12420>, Clavel et al. (2019) <DOI:10.1093/sysbio/syy045>, and Clavel & Morlon (2020) <DOI:10.1093/sysbio/syaa010>.

Julien Clavel

mvMORPH

Multivariate Comparative Tools for Fitting Evolutionary Models
to Morphometric Data

Emmanuel Paradis

predict function

<dl> <dt>object</dt>
<dd>an object of class 'mvgls' obtained from a <code>mvgls</code> or <code>mvols</code> fit.</dd> <dt>newdata</dt>
<dd>a dataframe with new observation(s). The column names must match the names of the predictors in the model fit object. The type (e.g. factors, numeric) must also match the type of the predictors in the model fit object.
Note: the fitted values are simply returned if "newdata" is not provided.</dd>
 <dt>...</dt>
<dd>further arguments for this generic function. For models fit by <code>mvgls</code>, if <code>tree</code> is provided (with tip name(s) matching rowname(s) in newdata and in the training (model fit) dataset), then the best unbiased linear prediction (BLUP) for the model is returned. Otherwise the GLS coefficients are used to predict "newdata".</dd>
</dl>

Arguments

Author

Predictions from (multivariate) gls or ols model fit — predict

<dl>

 <dt>object</dt>
<dd>an object of class 'mvgls' obtained from a <code>mvgls</code> or <code>mvols</code> fit.</dd>

 <dt>newdata</dt>
<dd>a dataframe with new observation(s). The column names must match the names of the predictors in the model fit object. The type (e.g. factors, numeric) must also match the type of the predictors in the model fit object.
Note: the fitted values are simply returned if "newdata" is not provided.</dd>


 <dt>...</dt>
<dd>further arguments for this generic function. For models fit by <code>mvgls</code>, if <code>tree</code> is provided (with tip name(s) matching rowname(s) in newdata and in the training (model fit) dataset), then the best unbiased linear prediction (BLUP) for the model is returned. Otherwise the GLS coefficients are used to predict "newdata".</dd>


</dl>

predict: Predictions from (multivariate) gls or ols model fit

Description

Usage

Value

Arguments

Author

See Also