Alternatives and similar repositories for nivstan:

Users that are interested in nivstan are comparing it to the libraries listed below

• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆16Updated 2 years ago
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆15Updated 4 years ago
• AGhaderi / NDDM
  Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…
  ☆15Updated 8 months ago
• hrl-team / online_exp
  Code for creating online tasks to study human reinforcement learning
  ☆9Updated 6 years ago
• Nathaniel-Haines / Reliability_2020
  ☆12Updated last year
• ycleong / MotivatedPerception
  Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)
  ☆9Updated 4 years ago
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 6 years ago
• ljchang / CosanlabToolbox
  General Analysis Functions
  ☆14Updated 8 years ago
• kiante-fernandez / Rhddmjags
  Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…
  ☆12Updated 5 months ago
• nivlab / jspsych-demos
  jsPsych tasks made by the Niv Lab
  ☆19Updated last year
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆16Updated 3 years ago
• craddm / metaSDT
  A simple R package for calculating (meta-) SDT measures
  ☆15Updated last year
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆11Updated last week
• galombardi / method_HtSSM_aDDM
  Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.
  ☆14Updated 3 years ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆14Updated 3 years ago
• poldrack / talks-RunningALab
  talks on running a lab
  ☆18Updated last year
• mdnunez / pyhddmjags
  Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…
  ☆26Updated last year
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated last year
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 4 years ago
• psychNerdJae / cog-comp-modeling
  Computational modeling tutorials for cognitive science
  ☆12Updated 2 years ago
• drbenvincent / delay-discounting-analysis
  Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks
  ☆23Updated 6 years ago
• yxlin / ggdmc
  Bayesian Cognitive Modelling
  ☆19Updated 7 months ago
• IanEisenberg / Self_Regulation_Ontology
  ☆16Updated 3 years ago
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆34Updated 2 years ago
• igmmgi / DMCfun
  R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…
  ☆17Updated 4 months ago
• murrowma / pybeam
  PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models
  ☆8Updated last year
• cosanlab / cosanlab_preproc
  Nipype-based data fMRI pre-processing tools
  ☆14Updated 4 years ago