india: Malnutrition of Childen in India

In expectreg: Expectile and Quantile Regression

Description

Data sample from a 'Demographic and Health Survey' about malnutrition of children in india. Data set only contains 1/10 of the observations and some basic variables to enable first analyses.

Usage

data(india)

Format

A data frame with 4000 observations on the following 6 variables.

stunting

A numeric malnutrition score with range (-600;600).

cbmi

BMI of the child.

cage

Age of the child in months.

mbmi

BMI of the mother.

mage

Age of the mother in years.

distH

The distict in India, where the child lives. Encoded in the region naming of the map india.bnd.

Source

http://www.measuredhs.com

References

Fenske N and Kneib T and Hothorn T (2009) Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression Technical Report 052, University of Munich

Examples

data(india)

expreg <- expectreg.ls(stunting ~ rb(cbmi),smooth="fixed",data=india,
lambda=30,estimate="restricted",expectiles=c(0.01,0.05,0.2,0.8,0.95,0.99))
plot(expreg)

Example output

Loading required package: parallel
Loading required package: mboost
Loading required package: stabs
This is mboost 2.9-1. See 'package?mboost' and 'news(package  = "mboost")'
for a complete list of changes.

Loading required package: BayesX
Loading required package: shapefiles
Loading required package: foreign

Attaching package: 'shapefiles'

The following objects are masked from 'package:foreign':

    read.dbf, write.dbf

Note: Function plotsurf depends on akima which has
 a restricted licence that explicitly forbids commercial use.
 akima is therefore disabled by default and may be enabled by
 akimaPermit(). Calling this function includes your agreement to
 akima`s licence restrictions.

expectreg documentation built on Aug. 24, 2019, 1:05 a.m.