DynamicsAndNeuralSystems / pyspi_tmpLinks
Comparative analysis of pairwise interactions in multivariate time series.
☆13Updated last year
Alternatives and similar repositories for pyspi_tmp
Users that are interested in pyspi_tmp are comparing it to the libraries listed below
Sorting:
- Textbook on Bayesian Data Analysis for Cognitive Science, Nicenboim, Schad, Vasishth☆16Updated last month
- Newer version of the KDEEBM code☆10Updated 6 months ago
- Resources for creating mixed-effects models as analogues for ANOVA and for truly longitudinal models.☆16Updated last year
- Reaction Time Distributions - An Interactive Overview☆44Updated 3 years ago
- A package to compute and test the significance of linear dependence between multiple autocorrelated time series.☆17Updated 3 years ago
- PyJAGS: The Python Interface to JAGS☆12Updated 5 years ago
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Updated 6 years ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆31Updated last year
- An R package for easy and flexible Bayesian Measurement Modeling☆17Updated 2 weeks ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆17Updated last year
- Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.☆25Updated 3 years ago
- R package for permutation test in linear model with nuisances variables☆13Updated 10 months ago
- R package for Tools for Handling Extraction of Features from Time series (theft)☆40Updated last week
- Docker container prebuilt with python tools for demos and workshops☆15Updated 6 years ago
- evaluate Granger Causality at multiple scales with the State Space formulation☆12Updated 2 years ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆18Updated 2 weeks ago
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 4 years ago
- A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.☆31Updated 7 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Updated 3 years ago
- R package: multilevel hidden Markov models using Bayesian estimation☆19Updated this week
- Reverse engineering of Metacognition toolbox☆18Updated 3 months ago
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆23Updated 7 years ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆12Updated last year
- Course material for the Advanced Cognitive Modeling class (Master students, Aarhus University)☆15Updated 4 years ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆17Updated last year
- Differential evolution in R☆29Updated 2 years ago
- code and data for posts from https://garstats.wordpress.com☆44Updated last year
- ☆20Updated 6 years ago
- Highly Comparative Graph Analysis - Code for network phenotyping☆49Updated last year
- THOI: An efficient library for higher order interactions analysis based on Gaussian copulas enhanced by batch-processing☆21Updated 3 months ago