The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The network autocorrelation model (NAM) can be used for studying the degree of social influence regarding an outcome variable based on one or more known networks. The degree of social influence is quantified via the network autocorrelation parameters. In case of a single network, the Bayesian methods of Dittrich, Leenders, and Mulder (2017) <doi:10.1016/j.socnet.2016.09.002> and Dittrich, Leenders, and Mulder (2019) <doi:10.1177/0049124117729712> are implemented using a normal, flat, or independence Jeffreys prior for the network autocorrelation. In the case of multiple networks, the Bayesian methods of Dittrich, Leenders, and Mulder (2020) <doi:10.1177/0081175020913899> are implemented using a multivariate normal prior for the network autocorrelation parameters. Flat priors are implemented for estimating the coefficients. For Bayesian testing of equality and order-constrained hypotheses, the default Bayes factor of Gu, Mulder, and Hoijtink, (2018) <doi:10.1111/bmsp.12110> is used with the posterior mean and posterior covariance matrix of the NAM parameters based on flat priors as input.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.0.0), BFpack |
| Imports: | Matrix, extraDistr, matrixcalc, mvtnorm, rARPACK, tmvtnorm, utils, psych, sna, bain |
| Suggests: | testthat |
| Published: | 2024-06-20 |
| DOI: | 10.32614/CRAN.package.BANAM |
| Author: | Joris Mulder [aut, cre], Dino Dittrich [aut, ctb], Roger Leenders [aut, ctb] |
| Maintainer: | Joris Mulder <j.mulder3 at tilburguniversity.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | BANAM results |
| Reference manual: | BANAM.pdf |
| Package source: | BANAM_0.2.1.tar.gz |
| Windows binaries: | r-devel: BANAM_0.2.1.zip, r-release: BANAM_0.2.1.zip, r-oldrel: BANAM_0.2.1.zip |
| macOS binaries: | r-release (arm64): BANAM_0.2.1.tgz, r-oldrel (arm64): BANAM_0.2.1.tgz, r-release (x86_64): BANAM_0.2.1.tgz, r-oldrel (x86_64): BANAM_0.2.1.tgz |
| Old sources: | BANAM archive |
Please use the canonical form https://CRAN.R-project.org/package=BANAM to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.