Name: Michael Frank
Type: User
Bio: Developmental psychologist and cognitive scientist, PI of @langcog lab at Stanford. Interested in minds, brains, babies, learning, language, concepts.
Location: United States
Blog: langcog.stanford.edu
Michael Frank's Projects
Analytic plan in R(Markdown) for the ManyBabies project
Pilot analysis for ManyNumbers project
Modeling common ground project - experiment code
Experiments from Frank & Barner (2011), JEP:G
visualizations for meta-analyses
Analysis code for the Many Labs 5 project's multisite replications of Risen & Gilovich (2008).
Data from Frank et al. (2009), Information from multiple modalities helps infants learn abstract rules
Negation model with RSA
Open Science Tutorial Materials
Parenting Observational Study
My personal webstie
Smith, Goodman, & Frank (2013) NIPS code
Automatically exported from code.google.com/p/pragmods
Problem sets
Growth charts via regression quantiles
Code and data from Frank, Vul, & Saxe (2011)
Research methods text
A workshop format for rmarkdown. Releases contain locations in chronological order
Simple Bayesian rule learning model described in Frank & Tenenbaum (2011), Cognition