Analysis steps used in the flanker studyUpdated 2 years ago

Nina Purg, Jure Demšar and Grega Repovš

Rendered from flanker_analysis.Rmd in autohrf 1.1.3.
Analysis steps used in the spatial working memory studyUpdated 2 years ago

Nina Purg, Jure Demšar and Grega Repovš

Rendered from swm_analysis.Rmd in autohrf 1.1.3.
An example on how to evaluate manually constructed event modelsUpdated 2 years ago

Nina Purg, Jure Demšar and Grega Repovš

Rendered from manual_evaluation.Rmd in autohrf 1.1.3.
An example on how to use automated model parameter searchUpdated 2 years ago

Nina Purg, Jure Demšar and Grega Repovš

Rendered from automated_search.Rmd in autohrf 1.1.3.
Analysis of the adaptation level experiment data using the Bayesian linear modelUpdated 4 years ago

Jure Demšar, Erik Štrumbelj and Grega Repovš

Rendered from adaptation_level.Rmd in bayes4psy 1.2.12.
Analysis of the after images experiment data using the Bayesian color modelUpdated 4 years ago

Jure Demšar, Erik Štrumbelj and Grega Repovš

Rendered from afterimages.Rmd in bayes4psy 1.2.12.
Analysis of the flanker experiment data using the Bayesian reaction time and success rate modelsUpdated 4 years ago

Jure Demšar, Erik Štrumbelj and Grega Repovš

Rendered from flanker.Rmd in bayes4psy 1.2.12.
Analysis of the Stroop experiment data using the Bayesian t-testUpdated 4 years ago

Jure Demšar, Erik Štrumbelj and Grega Repovš

Rendered from stroop.Rmd in bayes4psy 1.2.12.