n-kall Goto Github PK

arr2

The ARR2: flexible predictive prior definition for Bayesian auto-regressions

arviz

Exploratory analysis of Bayesian models with Python

babe_homework_3

babe_site

website for babe (basic architecture for browser-based experiments)

bayesflow

R package offering utilities for Bayesian workflow

bayesian-workflow-wiki

bayesplot

bayesplot R package for plotting Bayesian models

bda_course_aalto

Bayesian Data Analysis course at Aalto

bda_py_demos

Bayesian Data Analysis demos for Python

brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

cmdstanr

CmdStanR: the R interface to CmdStan

deeplabcut-chimpanzee

Instructions and setup for using DeepLabCut

faintr

R package 'faintr' for interpretation of BRMS model fits for data from factorial design experiment

faintr-old

Very basic tutorial on Bayesian mixed effects regression for factorial designs

featureintegration

Replication of Experiment I of Treisman & Gelade (1980): a visual-search reaction time experiment relevant to the "Feature-Integration Theory of Attention"

ida2019-package

R package for the IDA-2019 course

iwmm

loo

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

mightymike

Pangea Software's Mighty Mike (Power Pete) for modern systems

n-kall.r-universe.dev

ncomplete

nia-2017

posterior

The posterior R package

potnet

Implementation of Generative Modeling with Penalized Optimal Transport Network (POTNet)

powerscaling-sensitivity

Code for paper "Detecting and diagnosing prior and likelihood sensitivity with power-scaling"

priorsense

priorsense: an R package for prior diagnostics and sensitivity

priorsense-arviz

priorsense-presentation

pryorsense

priorsense for python

redo-analysis