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", "0.2.1")



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: 2024-05-29
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 0.2.1, https://cran.r-project.org/web/packages/BANAM. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.2.0 (2024-05-29 12:40)
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

crossrun  
Joint Distribution of Number of Crossings and Longest Run
Joint distribution of number of crossings and the longest run in a series of independent Bernoulli ...
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  
SCBiclust  
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency  
pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency  
deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

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