Other packages > Find by keyword >

netcmc  

Spatio-Network Generalised Linear Mixed Models for Areal Unit and Network Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("netcmc", "1.0.2")



Attach the package and use:
library("netcmc")
Maintained by
George Gerogiannis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-07
Latest Update: 2022-11-08
Description:
Implements a class of univariate and multivariate spatio-network generalised linear mixed models for areal unit and network data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, or Poisson. Spatial autocorrelation is modelled by a set of random effects that are assigned a conditional autoregressive (CAR) prior distribution following the Leroux model (Leroux et al. (2000) ). Network structures are modelled by a set of random effects that reflect a multiple membership structure (Browne et al. (2001) ).
How to cite:
George Gerogiannis (2022). netcmc: Spatio-Network Generalised Linear Mixed Models for Areal Unit and Network Data. R package version 1.0.2, https://cran.r-project.org/web/packages/netcmc. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:24), 1.0.1 (2022-06-29 02:20), 1.0.2 (2022-11-08 23:30), 1.0 (2022-02-07 13:00)
Other packages that cited netcmc R package
View netcmc citation profile
Other R packages that netcmc depends, imports, suggests or enhances
Complete documentation for netcmc
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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