zambia_height92

The primary goal of a statistical analysis is to determine the effect of certain socioeconomic
 variables of the child, the mother, and the household on the child`s nutritional
 condition<ul>
<li>zscore child`s Z-score</li>
<li>c _breastf duration of breastfeeding in months</li>
<li>c_age child`s age in months</li>
<li>m_agebirth mother`s age at birth in years</li>
<li>m_height mother`s height in centimeter</li>
<li>m_bmi mother`s body mass index</li>
<li>m_education mother`s level of education</li>
<li>m_work mother`s work status</li>
<li>region region of residence in Zambia</li>
<li>district district of residence in Zambia</li>
</ul>

Utility functions for scale-dependent and alternative hyperpriors. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend
on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. Hyperpriors for all effects can be elicitated within the package. Including complex tensor product interaction terms and variable selection priors. The basic model is explained in in Klein and Kneib (2016) <doi:10.1214/15-BA983>.

Nadja Klein

sdPrior

Scale-Dependent Hyperpriors in Structured Additive
Distributional Regression

zambia_height92 function

A data frame with 4421 rows and 21 variables

zambia_height92: Malnutrition in Zambia

Description

Arguments

Format