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RoBTT
View on CRAN: Click
here
Download and install RoBTT package within the R console
Install from CRAN:
install.packages("RoBTT")
Install from Github:
library("remotes")
install_github("cran/RoBTT") Install by package version:
library("remotes")
install_version("RoBTT", "1.3.1") Attach the package and use:
library("RoBTT")
Maintained by
František Bartoš
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-20
Latest Update: 2024-11-10
Description:
An implementation of Bayesian model-averaged t-test that allows
users to draw inference about the presence vs absence of the effect,
heterogeneity of variances, and outliers. The 'RoBTT' packages estimates model
ensembles of models created as a combination of the competing hypotheses and uses
Bayesian model-averaging to combine the models using posterior model probabilities.
Users can obtain the model-averaged posterior distributions and inclusion Bayes
factors which account for the uncertainty in the data generating process
(Maier et al., 2022, ).
Users can define a wide range of informative priors for all parameters
of interest. The package provides convenient functions for summary, visualizations,
and fit diagnostics.
How to cite:
František Bartoš (2022). RoBTT: Robust Bayesian T-Test. R package version 1.3.1, https://cran.r-project.org/web/packages/RoBTT. Accessed 06 Mar. 2026.
Previous versions and publish date:
Other packages that cited RoBTT R package
View RoBTT citation profile
Other R packages that RoBTT depends,
imports, suggests or enhances
Complete documentation for RoBTT
Functions, R codes and Examples using
the RoBTT R package
Some associated functions: RoBTT-package . RoBTT . RoBTT_control . RoBTT_options . check_RoBTT . fertilization . interpret . is.RoBTT . plot.RoBTT . print.RoBTT . print.summary.RoBTT . prior . summary.RoBTT .
Some associated R codes: RoBTT-package.R . check-input-and-settings.R . check-priors-and-models.R . datasets.R . fit-and-marglik.R . inference-and-model-averaging.R . main.R . plot.R . priors.R . stan_tools.R . stanmodels.R . summary.R . tools.R . utilities.R . zzz.R . Full RoBTT package functions and examples
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