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bayest

Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models

v1.5 · Apr 5, 2024 · GPL-3

Description

Provides an Markov-Chain-Monte-Carlo algorithm for Bayesian t-tests on the effect size. The underlying Gibbs sampler is based on a two-component Gaussian mixture and approximates the posterior distributions of the effect size, the difference of means and difference of standard deviations. A posterior analysis of the effect size via the region of practical equivalence is provided, too. For more details about the Gibbs sampler see Kelter (2019) <arXiv:1906.07524>.

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CRAN incoming feasibility

Maintainer: ‘Riko Kelter <riko.kelter@uni-siegen.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Riko",
                    family = "Kelter",
                    role = c("aut", "cre"),
                    email = "riko.kelter@uni-siegen.de")
as necessary.

The Description field contains
  details about the Gibbs sampler see Kelter (2019) <arXiv:1906.07524>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Riko Kelter <riko.kelter@uni-siegen.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Riko",
                    family = "Kelter",
                    role = c("aut", "cre"),
                    email = "riko.kelter@uni-siegen.de")
as necessary.

The Description field contains
  details about the Gibbs sampler see Kelter (2019) <arXiv:1906.07524>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Riko Kelter <riko.kelter@uni-siegen.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Riko",
                    family = "Kelter",
                    role = c("aut", "cre"),
                    email = "riko.kelter@uni-siegen.de")
as necessary.

The Description field contains
  details about the Gibbs sampler see Kelter (2019) <arXiv:1906.07524>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Riko Kelter <riko.kelter@uni-siegen.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Riko",
                    family = "Kelter",
                    role = c("aut", "cre"),
                    email = "riko.kelter@uni-siegen.de")
as necessary.

The Description field contains
  details about the Gibbs sampler see Kelter (2019) <arXiv:1906.07524>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Dependency Network

Dependencies Reverse dependencies MCMCpack bayest

Version History

new 1.5 Mar 10, 2026
updated 1.5 ← 1.4 diff Apr 4, 2024
updated 1.4 ← 1.3 diff May 30, 2020
updated 1.3 ← 1.2 diff May 26, 2020
updated 1.2 ← 1.1 diff May 4, 2020
updated 1.1 ← 1.0 diff Dec 12, 2019
new 1.0 Aug 1, 2019