predict.elastic_reg_model

predicted curves for elastic regression model objects.

Provides functions to align curves and to compute mean curves based on the
elastic distance defined in the square-root-velocity framework. For more details on
this framework see Srivastava and Klassen (2016, <doi:10.1007/978-1-4939-4020-2>).
For more theoretical details on our methods and algorithms see
Steyer et al. (2023, <doi:10.1111/biom.13706>) and Steyer et al. (2023, <arXiv:2305.02075>).

Lisa Steyer

elasdics

Elastic Analysis of Sparse, Dense and Irregular Curves

predict.elastic_reg_model function

<dl><dt>object</dt>
<dd>object of class <code>elastic_reg_model</code>,
usually a result of a call to <code>fit_elastic_regression</code></dd>
<dt>newdata</dt>
<dd>an optional <code>data.frame</code> in which to look for variables with which to predict.
If not given, the fitted values are used.</dd>
<dt>t_grid</dt>
<dd>grid on which the predicted curves are evaluated.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Predict method for elastic regression models — predict.elastic_reg_model

<dl>

<dt>object</dt>
<dd>object of class <code>elastic_reg_model</code>,
usually a result of a call to <code>fit_elastic_regression</code></dd>


<dt>newdata</dt>
<dd>an optional <code>data.frame</code> in which to look for variables with which to predict.
If not given, the fitted values are used.</dd>


<dt>t_grid</dt>
<dd>grid on which the predicted curves are evaluated.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

predict.elastic_reg_model: Predict method for elastic regression models

Description

Usage

Value

Arguments

See Also