charleywu / gridsearch
Wu, C. M., Schulz, E., Speekenbrink, M., Nelson, J. D., & Meder, B. (2018). Generalization guides human exploration in vast decision spaces. Nature Human Behaviour. 2, 915–924. https://doi.org/10.1038/s41562-018-0467-4
☆22Updated 5 years ago
Alternatives and similar repositories for gridsearch:
Users that are interested in gridsearch are comparing it to the libraries listed below
- ☆13Updated 5 years ago
- scripts for the computational modelling workshop at FLUX 2021☆16Updated 3 years ago
- RT distributions in R☆47Updated 3 years ago
- Toolbox enabling the model-free and model-based analysis of IGT data☆16Updated 2 years ago
- Code and website accompanying Farrell & Lewandowsky's (2017) book☆61Updated 2 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆46Updated 7 months ago
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆23Updated 6 years ago
- ☆12Updated 10 months ago
- Code for creating online tasks to study human reinforcement learning☆9Updated 5 years ago
- Bayesian Cognitive Modelling☆19Updated 6 months ago
- Computational modeling tutorials for cognitive science☆12Updated 2 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆16Updated last year
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…☆12Updated 3 months ago
- ☆16Updated 2 years ago
- R package for reading Eyelink eye tracking data☆22Updated 6 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated last year
- Python Package which collects simulators for Sequential Sampling Models☆12Updated this week
- Hierarchical meta-d' model☆63Updated 5 months ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆23Updated 4 years ago
- R package for creating a reproducible CogSci submission☆24Updated last year
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆17Updated 3 months ago
- A package for manipulating EEG data in R.☆22Updated last month
- Code and data for Zhang & Gläscher (2020)☆15Updated 4 years ago
- ☆30Updated last year
- A simple R package for calculating (meta-) SDT measures☆15Updated last year
- An R software package to write, train, tune, test, and compare machine-learning models of cognition☆26Updated 2 years ago
- Package to Train LANs (Likelihood approximation networks)☆11Updated this week
- an R package for importing EDF files from Eyelink eyetrackers☆24Updated 2 years ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆31Updated last year
- Run adaptive decision making experiments☆16Updated 3 years ago