test_cosinor

Given a time variable and optional covariates, generate inference a cosinor
fit. For the covariate named (or vector of covariates), this function
performs a Wald test comparing the group with covariates equal to 1 to the
group with covariates equal to 0. This may not be the desired result for
continuous covariates.

A set of simple functions that transforms longitudinal
data to estimate the cosinor linear model as described in Tong (1976).
Methods are given to summarize the mean, amplitude and acrophase, to
predict the mean annual outcome value, and to test the coefficients.

Michael Sachs

cosinor

Tools for Estimating and Predicting the Cosinor Model

test_cosinor function

<dl><dt>object</dt>
<dd>An object of class <code>cosinor.lm</code></dd>
<dt>x_str</dt>
<dd>Character naming the covariate whose amplitude/acrophase will be tested</dd>
<dt>param</dt>
<dd>Character string naming the parameter to test, either "amp" for
amplitude or "acr" for acrophase</dd></dl>

Arguments

Test for differences in a cosinor model — test_cosinor

<dl>

<dt>object</dt>
<dd>An object of class <code>cosinor.lm</code></dd>


<dt>x_str</dt>
<dd>Character naming the covariate whose amplitude/acrophase will be tested</dd>


<dt>param</dt>
<dd>Character string naming the parameter to test, either "amp" for
amplitude or "acr" for acrophase</dd>

</dl>

test_cosinor: Test for differences in a cosinor model

Description

Usage

Arguments

Examples