elisabaek / social_network_analysis_tutorialLinks
☆12Updated 5 years ago
Alternatives and similar repositories for social_network_analysis_tutorial
Users that are interested in social_network_analysis_tutorial are comparing it to the libraries listed below
Sorting:
- Course materials for PSYC 132: Introduction to Programming for Psychological Scientists☆90Updated 2 years ago
- Lab manual for the Contextual Dynamics Laboratory at Dartmouth College☆20Updated this week
- Repository of jupyter notebooks for Psyc63 Experimental Study of Behavior at Dartmouth College☆13Updated 6 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated 2 years ago
- This repository holds data and code for the paper "Network approaches to the analysis of multivariate data in psychological science"☆38Updated 4 years ago
- Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL☆16Updated 5 years ago
- Library for analyzing semantic fluency data and estimating semantic networks☆24Updated last week
- Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis☆24Updated 4 months ago
- A python toolbox for analyzing and plotting free recall data☆22Updated last year
- This python script guesses the race and gender (probabilistically) of the first and last authors for papers in your citation list (in the…☆24Updated 3 years ago
- Data and code for the paper "Geometric models reveal behavioural and neural signatures of transforming naturalistic experiences into epis…☆31Updated 4 years ago
- python port: An Introduction to Bayesian Data Analysis for Cognitive Science☆15Updated 2 years ago
- Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries☆155Updated last year
- Hierarchical Bayesian modeling of RLDM tasks, using R & Python☆246Updated 3 weeks ago
- RT distributions in R☆49Updated 3 years ago
- ☆39Updated 7 years ago
- Hierarchical meta-d' model☆70Updated last year
- An Introduction to Programming for Psychologists & Neuroscientists Course at Dartmouth PBS☆21Updated 6 years ago
- Code accompanying the manuscript: Van Baar, J., Chang, L., & Sanfey, A.G. (2019). The computational and neural substrates of moral strate…☆26Updated 2 years ago
- Using NLP to automatically score autobiographical interview narratives☆18Updated 9 months ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆46Updated last year
- Slides☆57Updated 6 months ago
- ☆13Updated last week
- Code and website accompanying Farrell & Lewandowsky's (2017) book☆66Updated 3 months ago
- Group Iterative Multiple Model Estimation - R version☆28Updated last month
- Teaching materials for BayesCog at Faculty of Psychology, University of Vienna☆148Updated 4 years ago
- ☆49Updated last month
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆23Updated 7 years ago
- Code and data for Zhang & Gläscher (2020)☆16Updated 5 years ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆23Updated 5 years ago