#statstab #453 {Bayes Power}
A General Application of Power and Sample Size Calculation for the Bayes Factors

Thoughts: Blending frequentist notions of power with bayes hypothesis testing.

#poweranalysis #bayesian #bayesfactor #errorrate #rstats #nhbt

doi.org/10.31234/osf...

#statstab #443 Dienes Bayes factor calculator

Thoughts: Dienes presents a different way to compute BFs using the sample data. But, this can be seen as an acceptable double-dipping.

#bayesian #bayesfactor #evidence #likelihood #guide

bencepalfi.shinyapps.io/Dienes_BF_ca...

1. This is an extension of theogic behind Cohen's d (doesn't make it good).

2. This is also the parameterization in the popular BayesFactor package (and by extention JASP/jamovi) which has been criticized:

link.springer.com/article/10.1...

#statstab #414 The Bayes factor {shiny app}

Thoughts: It's almost the start of term, so here is another teaching tool for learning about Bayes Factors.

#nhbt #bayes #bayesfactor #learing #pedagogy #shiny #r

statsedge.org/shiny/LearnBF/

#statstab #402 On Bayes factors for hypothesis tests {emBayes Factor}

Thoughts: On bsky there were renewed debates about BFs. This paper provides "better" priors (mixture t centred on the ES). Also some p-value BFs

#bayesian #bayesfactor #priors #cohend

link.springer.com/article/10.3...

#statstab #382 The JASP Guidelines for Conducting and Reporting a Bayesian Analysis

Thoughts: @jaspstats.bsky.social is often people's first attempt at Bayesian statistics. But proper inference and reporting is crucial

#JASP #Bayesian #BayesFactor #guide #tutorial
link.springer.com/article/10.3...

#statstab #360 Bayes Factor Design Analysis {bfda}

Thoughts: Sample size planning is confusing at first with Bayesian. But BFDA is the quick answer.

#bfda #bayesian #bayesfactor #samplesize #power #errorrate

shinyapps.org/apps/BFDA/

#statstab #359 A Pragmatic Approach to Statistical Testing and Estimation (PASTE)

Thought: A (basic) guide to some alternatives to p-values: bayesian posterior intervals, Bayes Factors, and AIC.

#NHST #pvalues #TOST #BayesFactor #AIC #modelcomparison

doi.org/10.1016/j.hp...

#statstab #346 Jeffreys-Lindley paradox

Thoughts: I like this short explanation of the "paradox" of why frequentist and bayesian inference can differ.

#paradox #frequentist #bayesian #inference #bayesfactor #pvalue #explanation

michael-franke.github.io/intro-data-a...

Yes, I recall corresponding with Jeff Rouder and EJ Wagenmakers regarding this misspecification back in 2019. Happy to see this corrected and used as the new versions of JASP 😃 (maybe someday this will also be the default in the BayesFactor R package)

Updates on CRAN: arf (0.2.0), bartcs (1.2.1), BayesFactor (0.9.12-4.7), bcmaps (2.2.0), breathtestcore (0.8.7), causalweight (1.1.0), convdistr (1.6.1), CSIndicators (1.1.1), familiar (1.4.6), fastcpd (0.10.3), ggdag (0.2.11), GGIRread (0.3.3), kableExtra (1.4.0), kisopenapi (0.0.2), LEGIT (1.4.1)

CRAN updates: BayesFactor breathtestcore fastcpd ggdag kisopenapi LEGIT MazamaLocationUtils MHD RApiDatetime TDA #rstats

For a Bayesian paired t-test with a custom prior in R, am I right that this is not yet in major libraries like @richarddmorey's Bayesfactor and the best option is Gronau, @AlexanderLyNL, & @EJWagenmakers's code (https://osf.io/37vch/)?

does the BayesFactor package cover Poisson mixed effects models? if so, what syntax? (@richarddmorey)

@richarddmorey Can BayesFactor do random slopes in the lmBF function?

discoveries of the w-e: calculating BayesFactor (<a href="http://bayesfactorpcl.r-forge.r-project.org/)" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">http://bayesfactorpcl.r-forge.r-project.org/) and statistical power (<a href="http://cran.r-project.org/web/packages/longpower/longpower.pdf)" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">http://cran.r-project.org/web/packages/longpower/longpower.pdf) for mixEffectsModels