auzaheta

BayesHMM

Full Bayesian Inference for Hidden Markov Models

BayesianDyNAM

Code to explore DyNAMs using Bayesian inference

goldfish

The goldfish package in R

Hy-MMSBM

Inference and sampling on the Hy-MMSBM probabilistic model for hypergraphs.

jamovi

jamovi - open software to bridge the gap between researcher and statistician

lightgraphs_workshop

MachineLearningInJulia2020

Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox

rsiena

Simulation Investigation for Empirical Network Analysis in R

goldfish.latent

Relational Event Models with Latent Variables

goldfish

Actor-oriented and tie-based network event models in R

auzaheta/BayesHMM

Full Bayesian Inference for Hidden Markov Models

auzaheta/BayesianDyNAM

Code to explore DyNAMs using Bayesian inference

auzaheta/goldfish

The goldfish package in R

auzaheta/Hy-MMSBM

Inference and sampling on the Hy-MMSBM probabilistic model for hypergraphs.

auzaheta/jamovi

jamovi - open software to bridge the gap between researcher and statistician

auzaheta/lightgraphs_workshop

auzaheta/MachineLearningInJulia2020

Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox

auzaheta/relational_event_model_tutorial

Tutorial for estimating relational event models using the rem-package in R.

auzaheta/rhat_ess

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

auzaheta/rsiena

Simulation Investigation for Empirical Network Analysis in R

auzaheta/rticles

LaTeX Journal Article Templates for R Markdown

auzaheta/slides

Slides by Yongfu

auzaheta/sbm

A package to sample and estimate variants of the stochastic blockmodel from network data

auzaheta/stancon18

A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.

auzaheta/TweeterColElection