Other packages > Find by keyword >

LatentBMA  

Bayesian Model Averaging for Univariate Link Latent Gaussian Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LatentBMA", "0.1.1")



Attach the package and use:
library("LatentBMA")
Maintained by
Gregor Zens
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-27
Latest Update: 2024-06-27
Description:
Bayesian model averaging (BMA) algorithms for univariate link latent Gaussian models (ULLGMs). For detailed information, refer to Steel M.F.J. & Zens G. (2024) "Model Uncertainty in Latent Gaussian Models with Univariate Link Function" <doi:10.48550/arXiv.2406.17318>. The package supports various g-priors and a beta-binomial prior on the model space. It also includes auxiliary functions for visualizing and tabulating BMA results. Currently, it offers an out-of-the-box solution for model averaging of Poisson log-normal (PLN) and binomial logistic-normal (BiL) models. The codebase is designed to be easily extendable to other likelihoods, priors, and link functions.
How to cite:
Gregor Zens (2024). LatentBMA: Bayesian Model Averaging for Univariate Link Latent Gaussian Models. R package version 0.1.1, https://cran.r-project.org/web/packages/LatentBMA. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2024-06-27 16:40)
Other packages that cited LatentBMA R package
View LatentBMA citation profile
Other R packages that LatentBMA depends, imports, suggests or enhances
Complete documentation for LatentBMA
Functions, R codes and Examples using the LatentBMA R package
Full LatentBMA 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

con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

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