Other packages > Find by keyword >

BANAM  

Bayesian Analysis of the Network Autocorrelation Model
View on CRAN: Click here


Download and install BANAM package within the R console
Install from CRAN:
install.packages("BANAM")

Install from Github:
library("remotes")
install_github("cran/BANAM")

Install by package version:
library("remotes")
install_version("BANAM", "0.2.2")



Attach the package and use:
library("BANAM")
Maintained by
Joris Mulder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-29
Latest Update: 2024-12-03
Description:
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.
How to cite:
Joris Mulder (2024). BANAM: Bayesian Analysis of the Network Autocorrelation Model. R package version 0.2.2, https://cran.r-project.org/web/packages/BANAM. Accessed 18 Sep. 2026.
Previous versions and publish date:
0.2.0 (2024-05-29 12:40), 0.2.1 (2024-06-20 12:30), (2026-07-09 07:57)
Other packages that cited BANAM R package
View BANAM citation profile
Other R packages that BANAM depends, imports, suggests or enhances
Complete documentation for BANAM
Functions, R codes and Examples using the BANAM R package
Full BANAM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  
hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  
downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA