CRAN/E | RoBTT

RoBTT

Robust Bayesian T-Test

Installation

About

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, doi:10.31234/osf.io/d5zwc). 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.

Citation RoBTT citation info
fbartos.github.io/RoBTT/
System requirements GNU make
Bug report File report

Key Metrics

Version 1.3.0
R ≥ 4.0.0
Published 2024-04-04 70 days ago
Needs compilation? yes
License GPL-3
CRAN checks RoBTT results

Downloads

Yesterday 21
Last 7 days 81 -44%
Last 30 days 540 -15%
Last 90 days 1.787 +8%
Last 365 days 5.976 +213%

Maintainer

Maintainer

František Bartoš

Authors

František Bartoš

aut / cre

Maximilian Maier

aut

Henrik R Godmann

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Introduction to RoBTT
Truncated Bayesian Model-Averaged T-Test

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RoBTT archive

Depends

R ≥ 4.0.0
Rcpp ≥ 0.12.19

Imports

rstan ≥ 2.26.0
rstantools ≥ 1.5.0
RcppParallel ≥5.0.1
BayesTools ≥ 0.2.15
bridgesampling
methods
ggplot2
Rdpack

Suggests

parallel
testthat
vdiffr
knitr
rmarkdown
covr

LinkingTo

StanHeaders ≥ 2.26.0
rstan ≥ 2.26.0
BH ≥ 1.69.0
Rcpp ≥ 0.12.15
RcppEigen ≥ 0.3.3.4.0
RcppParallel ≥5.0.1