Bayesian parameter estimation via Markov chain Monte Carlo simulations (Code repository)

http://r-code.ml

Frequentist inference
Fixed-effects ANOVAGeneral linear models: mixing continuous and categorical covariatesOutput plot as PDFSimple linear regressionSkewness & Kurtosis
Notes
file.choose() is a very handy command which saves the work associated with defining absolute and relative paths which can be quite cumbersome.
list.files for non-interactive selection.
choose.files for selecting multiple files interactively.
More
https://www.rdocumentation.org/packages/base/versions/3.5.2/topics/file.choose
Bayes Factor analysis
ttestBF function (one sample) BFmcmc functionttestBF function (two sample)Bayesian meta analysisBayes factor robustness analysis, one-sidedAnimating Robustness-Check of Bayes Factor PriorsSkewness & KurtosisanovaBF function
Comment

ttestBF function, which performs the “JZS” t test described by Rouder, Speckman, Sun, Morey, and Iverson (2009).

Comment
The posterior function returns a object of type BFmcmc, which inherits the methods of the mcmc class from the coda package.

Comment
ttestBF function, which performs the “JZS” t test described by Rouder, Speckman, Sun, Morey, and Iverson (2009).

References
Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t-tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin and Review, 16, 225-237

Comment
Reduce number of comparisons by specifyig the xact model of interest a priori.

Markov chain Monte Carlo methods
MCMC 1GBEST RBEST - Bayesian MCMC power analysis
Various plots
BeanplotsDensity and Rug plotDirac function - Interdisciplinarity versus OverspecialisationGoogle TrendsJASP prior & posterior plot