Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
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Updated
Nov 25, 2020 - R
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
◽ <- ⚪ Structural Equation Modeling from a broader context.
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
A quick reference for how to run many models in R.
The code for fitting a mixture distribution to data and Gaussian Mixture Model (GMM)
MultiVariate Polygenic Mixture Model
Gaussian mixture modelling - Unsupervised learning
Split-population duration model in R
Network-based clustering
An R package containing functions for clustering multivariate data using mixtures of factor analyzers.
Directional Co-clustering with a Conscience (DCC)
Illustrate CR models with individual heterogeneity (multistate, random-effect, finite-mixture)
Codes for simulation studies to examine the performance of the EM algorithm and its modifications Classification EM and Stochastic EM for Gaussian mixture and a mixture of Markov chains.
Model-based clustering in very high dimensions via adaptive projections.
Adaptive Mixture of Student-t distributions
This R package allows the estimation and prediction for a clustered Gaussian process model proposed by Sung, Haaland, Hwang, and Lu (2023) in Statistica Sinica
Aplicação do Algoritmo proposto em https://doi.org/10.1214/21-BA1294 em misturas de regressão t de Student assimétricas.
R package for VIMIX: Variational Inference for MIXture models
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