trading_data

The variables are given as the percentage of imports and exports in relation to the overall GDP.
The data set comprises data from 44 countries (for our analysis),
we specifically selected the time period between 2018 and 2022.

datasets

Fitting multivariate response models with random effects on one or two levels; whereby the (one-dimensional) random effect represents a latent variable approximating the multivariate space of outcomes, after possible adjustment for covariates. The method is particularly useful for multivariate, highly correlated outcome variables with unobserved heterogeneities. Applications include regression with multivariate responses, as well as multivariate clustering or ranking problems. See Zhang and Einbeck (2024) <doi:10.1007/s42519-023-00357-0>.

Yingjuan Zhang Developer

mult.latent.reg

Regression and Clustering in Multivariate Response Scenarios

Yingjuan Zhang 

Jochen Einbeck 

trading_data function

An object of class <code>"data.frame"</code><dl>
 <dt>import</dt>
<dd>The fetus from the same twins share the same id number.</dd> <dt>export</dt>
<dd>frequency of self-touch for each fetus.</dd> <dt>country</dt>
<dd>frequency of twin-to-twin for each fetus.</dd>
</dl>

Format

A set of import and export data in 44 countries. — trading_data

An object of class <code>"data.frame"</code><dl>
 <dt>import</dt>
<dd>The fetus from the same twins share the same id number.</dd>

 <dt>export</dt>
<dd>frequency of self-touch for each fetus.</dd>

 <dt>country</dt>
<dd>frequency of twin-to-twin for each fetus.</dd>


</dl>

trading_data: A set of import and export data in 44 countries.

Description

Usage

Arguments

Format

Examples