cosinor_goodness_of_fit

requires cosinor model generated with <a rd-options="card:cosinor" href="/link/card%3A%3Acosinor?package=card&version=0.1.0&to=card%3Acosinor" data-mini-rdoc="card:cosinor::card::cosinor">card::cosinor</a> to
calculate statistics.

object

level

additional parameters may be needed for extensibility

Goodness of fit of a cosinor from data that has multiple
collections at different timepoints or from multiple cycles. The RSS is
partitioned into pure error (SSPE) and lack of fit (SSLOF). An F-test
compares the SSPE and SSLOF to detect appropriateness of model.$$SSLOF = RSS - SSPE$$$$SSPE = \sum_{i} \sum_{l} ( Y_{il} - \overline{Y}_{i} )^2$$
The fitted values for each time point are:
$$\overline{Y}_{i} = \frac{ \sum_{l} Y_{il} }{ n_{i}}$$

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>.

Anish S. Shah 

card

Cardiovascular and Autonomic Research Design

cosinor_goodness_of_fit function

requires cosinor model generated with <a rd-options='card:cosinor' href='card::cosinor'>card::cosinor</a> to
calculate statistics.

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cosinor_goodness_of_fit: Goodness of Fit of Cosinor

Description

Usage

Arguments

Value