spatialnbda: Performs spatial NBDA in a Bayesian context

Network based diffusion analysis (NBDA) allows inference on the asocial and social transmission of information. This may involve the social transmission of a particular behaviour such as tool use, for example. For the NBDA, the key parameters estimated are the social effect and baseline rate parameters. The baseline rate parameter gives the rate at which the behaviour is first performed (or acquired) asocially amongst the individuals in a given population. The social effect parameter quantifies the effect of the social associations amongst the individuals on the rate at which each individual first performs or displays the behaviour. Spatial NBDA involves incorporating spatial information in the analysis. This is done by incorporating social networks derived from spatial point patterns (of the home bases of the individuals under study). In addition, a spatial covariate such as vegetation cover, or slope may be included in the modelling process.

Author
Glenna Nightingale
Date of publication
2014-09-19 00:49:05
Maintainer
Glenna Nightingale <glenna.evans@gmail.com>
License
GPL
Version
1.0

View on CRAN

Man pages

FormatData
Formats the data for NBDA
idarray
Individual id's for RJMCMC Example 1.
Ids
This dataset contains the unique id for each individual in...
mcmc
Performs spatial NBDA in a Bayesian context
mcmcre
Performs NBDA with individual level random effects
nullmcmc
The spatial NBDA null model is considered for this analysis....
papernests
papernests
papertimes
papertimes
rjmcmc
Model discriminiation in a Bayesian context for spatial NBDA.
smcmc
Performs spatial NBDA in a Bayesian context with an...
socialx
x coordinates for RJMCMC Example 1.
socialy
y coordinates for RJMCMC Example 1
spatialnbda-package
Performs spatial NBDA in a Bayesian context.
timearray
Diffusions times for RJMCMC Example 1
Times
This dataset contains the diffusion times using in the This...
x
x
Xx
x coordinates for data example for NBDA with random effects...
y
y
Yy
y coordinates for data example for NBDA with random effects...

Files in this package

spatialnbda
spatialnbda/NAMESPACE
spatialnbda/data
spatialnbda/data/x.csv
spatialnbda/data/Times.csv
spatialnbda/data/papertimes.csv
spatialnbda/data/socialx.csv
spatialnbda/data/Xx.csv
spatialnbda/data/Ids.csv
spatialnbda/data/papernests.csv
spatialnbda/data/timearray.csv
spatialnbda/data/Yy.csv
spatialnbda/data/socialy.csv
spatialnbda/data/y.csv
spatialnbda/data/idarray.csv
spatialnbda/R
spatialnbda/R/nbda.R
spatialnbda/R/nullmcmc.R
spatialnbda/R/rjmcmc.R
spatialnbda/R/snbda.R
spatialnbda/R/spatialnbda.R
spatialnbda/R/nbdaaptitudes.R
spatialnbda/MD5
spatialnbda/DESCRIPTION
spatialnbda/man
spatialnbda/man/figures
spatialnbda/man/figures/smooth.jpeg
spatialnbda/man/figures/pointpattern.jpeg
spatialnbda/man/figures/patacake.jpeg
spatialnbda/man/figures/step.jpeg
spatialnbda/man/figures/Rplot.jpeg
spatialnbda/man/figures/multiplediffusions.jpeg
spatialnbda/man/figures/spatialcovariate.jpeg
spatialnbda/man/x.Rd
spatialnbda/man/timearray.Rd
spatialnbda/man/mcmcre.Rd
spatialnbda/man/y.Rd
spatialnbda/man/papernests.Rd
spatialnbda/man/Ids.Rd
spatialnbda/man/smcmc.Rd
spatialnbda/man/spatialnbda-package.Rd
spatialnbda/man/socialy.Rd
spatialnbda/man/nullmcmc.Rd
spatialnbda/man/Xx.Rd
spatialnbda/man/idarray.Rd
spatialnbda/man/Yy.Rd
spatialnbda/man/papertimes.Rd
spatialnbda/man/Times.Rd
spatialnbda/man/FormatData.Rd
spatialnbda/man/rjmcmc.Rd
spatialnbda/man/mcmc.Rd
spatialnbda/man/socialx.Rd