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.

Version: 1.0
Depends: SocialNetworks (≥ 1.1), mvtnorm (≥ 0.9)
Published: 2014-09-19
Author: Glenna Nightingale
Maintainer: Glenna Nightingale <glenna.evans at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: spatialnbda results


Reference manual: spatialnbda.pdf
Package source: spatialnbda_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: spatialnbda_1.0.tgz
OS X Mavericks binaries: r-oldrel: spatialnbda_1.0.tgz


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