bayest

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

CRAN Package

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) doi:10.48550/arXiv.1906.07524.

  • Version1.5
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?No
  • Last release04/05/2024

Team


Insights

Last 30 days

This package has been downloaded 283 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
0 downloadsMar 4, 2025
25 downloadsMar 5, 2025
3 downloadsMar 6, 2025
10 downloadsMar 7, 2025
6 downloadsMar 8, 2025
6 downloadsMar 9, 2025
7 downloadsMar 10, 2025
15 downloadsMar 11, 2025
15 downloadsMar 12, 2025
15 downloadsMar 13, 2025
6 downloadsMar 14, 2025
19 downloadsMar 15, 2025
5 downloadsMar 16, 2025
11 downloadsMar 17, 2025
10 downloadsMar 18, 2025
8 downloadsMar 19, 2025
17 downloadsMar 20, 2025
7 downloadsMar 21, 2025
9 downloadsMar 22, 2025
10 downloadsMar 23, 2025
4 downloadsMar 24, 2025
6 downloadsMar 25, 2025
6 downloadsMar 26, 2025
6 downloadsMar 27, 2025
17 downloadsMar 28, 2025
3 downloadsMar 29, 2025
7 downloadsMar 30, 2025
3 downloadsMar 31, 2025
11 downloadsApr 1, 2025
11 downloadsApr 2, 2025
5 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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25

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,561 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Apr 08, 2024 with 43 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports1 package
  • Suggests2 packages