Loaloa: Loaloa Data

In mdhglm: Multivariate Double Hierarchical Generalized Linear Models

Description

Rousset et al. (2016) presented the loaloa data set which describes prevalence of infection by the nematode Loa loa in North Cameroon, 1991- 2001. The study investigated the relationship between altitude, vegetation indices, and prevalence of the parasite.

Usage

data("Loaloa")

Format

A data frame with 197 observations on the following 11 variables.

longitude

longitude, in degrees

latitude

latitude, in degrees

ntot

sample size per location

npos

number of infected individuals per location

maxNDVI

maximum normalised-difference vegetation index (NDVI) from repeated satellite scans

seNDVI

standard error of NDVI

elev1

altitude, in m

elev2

additional altitude variables derived from the previous one, provided for convenience respectively, positive values of altitude-650,

elev3

positive values of altitude-1000

elev4

positive values of altitude-1300

maxNDVI1

a copy of maxNDVI modified as maxNDVI1 (maxNDVI1=0.8 if maxNDVI>0.8, maxNDVI1=maxNDVI otherwise)

References

Rousset, F., Ferdy, J.B. and Courtiol, A. (2016). spaMM: Mixed Models, Particularly Spatial GLMMs. R package version 1.7.2.

mdhglm documentation built on May 2, 2019, 5:52 a.m.