pab2163

pab2163's Stars

• yutannihilation/gghighlight

  Highlight points and lines in ggplot2

  Language:R5231112023

• CCS-Lab/hBayesDM

  Hierarchical Bayesian modeling of RLDM tasks, using R & Python

  Language:TeX2231790113

• rsagroup/rsatoolbox

  Python library for Representational Similarity Analysis

  Language:Python1871518437

• MUCollective/multiverse

  R package for creating explorable multiverse analysis

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• uwdata/boba

  Specifying and executing multiverse analysis

  Language:Python625204

• mvuorre/exampleRPackage

  An example R package

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• IBIC/neuropointillist

  Flexible modeling of neuroimaging data in R

  Language:R31161013

• tyarkoni/PPS2016

  Supplemental notebooks for Yarkoni & Westfall (2016)

  Language:Jupyter Notebook256010

• wkool/tradeoffs

  Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)

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• cu-psych-computing/cu-psych-comp-tutorial

  An intro to R and Python for psychology-oriented users, created and maintained by students of the Columbia University psychology department

  Language:Jupyter Notebook179

• dcosme/specification-curves

  Tutorial on Specification Curve Analysis for dev brown bag, May 2019

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• ClaireSmid/Model-free_Model-based_Workshop

  This folder contains all the material to be used in the FLUX 2021 Model-free and Model-based computational workshop

  Language:Jupyter Notebook14405

• Mind-the-Pineapple/into-the-multiverse

  Code for the paper: "Neuroimaging: Into the Multiverse"

  Language:Jupyter Notebook14202

• themarshallproject/incarcerated_survey

  Publicly shared data for The Marshall Project/Slate's ongoing survey of thousands of incarcerated people for their political views, first results published in March, 2020.

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• hartleylabnyu/online_two_step_replication

  Tasks, data, and analysis scripts for Nussenbaum, K., Scheuplein, M., Phaneuf, C., Evans, M.D., & Hartley, C.A. (2020). Moving developmental research online: comparing in-lab and web-based studies of model-based reinforcement learning. Collabra: Psychology.

  Language:JavaScript82010

• carolfs/note_analysis_2stage_tasks

  Code for the simulations discussed in the paper "A note on the analysis of two-stage task results: how changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probability" by C. Feher da Silva and Todd A. Hare.

  Language:Python4203

• brainhack-eugene/longmri_shiny

  Longitudinal MRI Calculator for power analyses

  Language:R2501

• n2ygk/swc-py-2019-08-26

  my jupyter notebook for teaching Software Carpentries Python

  Language:Jupyter Notebook2300

• riddlet/StatsWorkshop

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• GrattonLab/Gratton2020_NI_HFmotion

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• jdturnerJTC/jt_work

  jt extra practice work

  Language:R1