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qbrms
View on CRAN: Click
here
Download and install qbrms package within the R console
Install from CRAN:
install.packages("qbrms")
Install from Github:
library("remotes")
install_github("cran/qbrms") Install by package version:
library("remotes")
install_version("qbrms", "1.0.1") Attach the package and use:
library("qbrms")
Maintained by
Tony Myers
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-10
Latest Update: 2025-12-10
Description:
Provides a 'brms'-like interface for fitting Bayesian regression models using 'INLA' (Integrated Nested Laplace Approximations) and 'TMB' (Template Model Builder). The package offers faster model fitting while maintaining familiar 'brms' syntax and output formats. Supports fixed and mixed effects models, multiple probability distributions, conditional effects plots, and posterior predictive checks with summary methods compatible with 'brms'. 'TMB' integration provides fast ordinal regression capabilities. Implements methods adapted from 'emmeans' for marginal means estimation and 'bayestestR' for Bayesian inference assessment. Methods are based on Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x>, Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, Lenth (2016) <doi:10.18637/jss.v069.i01>, Bürkner (2017) <doi:10.18637/jss.v080.i01>, Makowski et al. (2019) <doi:10.21105/joss.01541>, and Kruschke (2014, ISBN:9780124058880).
How to cite:
Tony Myers (2025). qbrms: Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax. R package version 1.0.1, https://cran.r-project.org/web/packages/qbrms. Accessed 24 Oct. 2026.
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