data_heart_sim

Simulated longitudinal dataset coming from a medical study to assess the health state progression of patients after a certain treatment.

datasets

Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.

Francesco Bartolucci

LMest

Generalized Latent Markov Models

Silvia Pandolfi

Fulvia Pennoni

Alessio Farcomeni

Alessio Serafini

data_heart_sim function

A data frame referred to 125 units observed at 6 time occasions on the following variables:<dl>
 <dt><code>id</code></dt>
<dd>subject id</dd> <dt><code>time</code></dt>
<dd>occasion of observation</dd> <dt><code>sap</code></dt>
<dd>systolic arterial pressure in mmgh</dd> <dt><code>dap</code></dt>
<dd>diastolic arterial pressure in mmgh</dd> <dt><code>hr</code></dt>
<dd>heart rate in bpm</dd> <dt><code>fluid</code></dt>
<dd>fluid administration in ml/kg/h</dd> <dt><code>gender</code></dt>
<dd>1 for male, 2 for females</dd> <dt><code>age</code></dt>
<dd>age in years</dd> 
</dl>

Format

Health dataset — data_heart_sim

A data frame referred to 125 units observed at 6 time occasions on the following variables:<dl>
 <dt><code>id</code></dt>
<dd>subject id</dd>

 <dt><code>time</code></dt>
<dd>occasion of observation</dd>

 <dt><code>sap</code></dt>
<dd>systolic arterial pressure in mmgh</dd>

 <dt><code>dap</code></dt>
<dd>diastolic arterial pressure in mmgh</dd>

 <dt><code>hr</code></dt>
<dd>heart rate in bpm</dd>

 <dt><code>fluid</code></dt>
<dd>fluid administration in ml/kg/h</dd>

 <dt><code>gender</code></dt>
<dd>1 for male, 2 for females</dd>

 <dt><code>age</code></dt>
<dd>age in years</dd>

 
</dl>

data_heart_sim: Health dataset

Description

Usage

Arguments

Format

References

Examples