balance

Balance scale data of four distance items from 779 participants;
participants ages are included.

datasets

Fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models, see Visser & Speekenbrink (2010, <DOI:10.18637/jss.v036.i07>).

Ingmar Visser

depmixS4

Dependent Mixture Models - Hidden Markov Models of GLMs and
Other Distributions in S4

balance function

A data frame with 779 observations on the following variables. The full 
	dataset is described and analyzed extensively in 
	Jansen &amp; Van der Maas (2002). The trichotomous data are left, balance, right. 
	The dichotomous version of the data is scored correct, incorrect. 
<dl class="dl-horizontal">
		<dt><code>sex</code></dt><dd>Participants sex.</dd>
		<dt><code>agedays</code></dt><dd>Age in days.</dd>
		<dt><code>age</code></dt><dd>Age in years.</dd>
		<dt><code>t1</code></dt><dd>Trichotomously scored distance item.</dd>
		<dt><code>t2</code></dt><dd>Trichotomously scored distance item.</dd>
		<dt><code>t3</code></dt><dd>Trichotomously scored distance item.</dd>
		<dt><code>t4</code></dt><dd>Trichotomously scored distance item.</dd>
		<dt><code>d1</code></dt><dd>Dichotomously scored distance item.</dd>
		<dt><code>d2</code></dt><dd>Dichotomously scored distance item.</dd>
		<dt><code>d3</code></dt><dd>Dichotomously scored distance item.</dd>
		<dt><code>d4</code></dt><dd>Dichotomously scored distance item.</dd>
	</dl>

balance: Balance Scale Data

Description

Usage

Arguments

Format

Examples