sleep

The sleep data consist of sleep state measurements of a newborn infant together with his heart rate and temperature sampled every 30 seconds. The sleep states are classified as: (1) quiet sleep, (2) indeterminate sleep, (3) active sleep, (4) awake. The total number of observations is equal to 1024 and the objective is to predict the sleep state based on covariate information.

datasets

Estimates high-dimensional multivariate normal copula regression models with the weighted composite likelihood estimating equations in Nikoloulopoulos (2022) <arXiv:2203.04619>. It provides autoregressive moving average correlation structures and binary, ordinal, Poisson, and negative binomial regressions.

Aristidis Nikoloulopoulos

weightedCL

Efficient and Feasible Inference for High-Dimensional Normal
Copula Regression Models

Aristidis K. Nikoloulopoulos

sleep function

A data frame with 1024 observations on the following 3 variables:<dl>
 <dt><code>heartrate</code></dt>
<dd>Heart rate.</dd> <dt><code>sleep</code></dt>
<dd>An ordinal time series in the sense that the response increases from awake to active sleep, i.e., (4) &lt; (1) &lt; (2) &lt; (3).</dd> <dt><code>temperature</code></dt>
<dd>Temperature</dd> 
</dl>

Format

Infant sleep status data — sleep

A data frame with 1024 observations on the following 3 variables:<dl>
 <dt><code>heartrate</code></dt>
<dd>Heart rate.</dd>

 <dt><code>sleep</code></dt>
<dd>An ordinal time series in the sense that the response increases from awake to active sleep, i.e., (4) &lt; (1) &lt; (2) &lt; (3).</dd>

 <dt><code>temperature</code></dt>
<dd>Temperature</dd>

 
</dl>

sleep: Infant sleep status data

Description

Usage

Arguments

Format

Examples