schw4b / DGM
Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.
☆25Updated 3 years ago
Alternatives and similar repositories for DGM:
Users that are interested in DGM are comparing it to the libraries listed below
- ☆20Updated 5 years ago
- Newer version of the KDEEBM code☆10Updated last month
- Reaction Time Distributions - An Interactive Overview☆44Updated 3 years ago
- PyJAGS: The Python Interface to JAGS☆12Updated 4 years ago
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆23Updated 6 years ago
- Exercises for 2015 Berkeley practical neuroimaging class☆26Updated 9 years ago
- Comparative analysis of pairwise interactions in multivariate time series.☆13Updated last year
- code and data for posts from https://garstats.wordpress.com☆43Updated last year
- Simulate Evidence Accumulation Models in Python☆23Updated 3 years ago
- Multivariate Functional Principal Component Analysis☆32Updated 2 years ago
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 3 years ago
- Fast and memory efficient approach for connectome-wide association studies in R and C++. Uses custom implementation of multivariate dista…☆15Updated 4 years ago
- Docker container prebuilt with python tools for demos and workshops☆15Updated 6 years ago
- Robust Graphical Methods For Group Comparisons☆85Updated last year
- 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
- Conquering confounds and covariates: methods, library and guidance☆38Updated 11 months ago
- Helpful scripts for running models in lavaan that reproduce published findings☆15Updated 6 years ago
- Fast Implementations of the Diffusion Decision Model's PDF☆14Updated 7 months ago
- ☆17Updated 4 years ago
- Run adaptive decision making experiments☆16Updated 3 years ago
- Code for Psychology 253☆16Updated 4 years ago
- R package for permutation test in linear model with nuisances variables☆13Updated 6 months ago
- Bayesian Gaussian Graphical Models☆55Updated 2 months ago
- Tutorials for learning imaging analysis (and other things), typically in ipython Notebook or R Markdown☆13Updated 9 years ago
- Code related to Neuroimaging Analysis Replication and Prediction Study☆35Updated this week
- R package for Tools for Handling Extraction of Features from Time series (theft)☆40Updated 3 weeks ago
- Full Bayesian Inference for Hidden Markov Models☆41Updated 6 years ago
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆65Updated 4 years ago
- General Analysis Functions☆14Updated 8 years ago
- Multi-task regression in Python☆26Updated 4 years ago