predict.cosinor

object

A data frame or matrix of new predictors.

new_data

A single character. The type of predictions to generate.
Valid options are:<ul>
<li><code>"numeric"</code> for numeric predictions.</li>
</ul>

type

Not used, but required for extensibility.

Predict from a <code>cosinor</code>

Tools that can aid in the assessment of the autonomic regulation
of cardiovascular physiology. The aims of this package are to: 1) study
electrocardiography (both intervals and morphology) as extensions
of signal processing, 2) study circadian rhythms and how it effects
autonomic physiology, 3) assess clinical risk of autonomic dysfunction on
cardiovascular health through the perspective of epidemiology and causality.
The analysis of circadian rhythms through cosinor analysis are built upon
the methods by Cornelissen (2014) <doi:10.1186/1742-4682-11-16> and
Refinetti, Cornelissen, Halberg (2014) <doi:10.1080/09291010600903692>.

predict.cosinor: Predict from a `cosinor`

Description

Usage

Arguments

Value