simstudy: Illuminating research methods through data generation
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Updated
Dec 16, 2025 - R
simstudy: Illuminating research methods through data generation
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.
Generate synthetic longitudinal correlated data using distributions and correlations from real-world observational data
R package designed to simulate, distribute, and evaluate enzyme kinetics data for teaching and assessment in biochemistry and related laboratory courses.
A Function for Sequential Clustering of Numerical and Timestamp Data
Scripts developed for the Data Visualisation class
The data analysis code for the replication study CREP-21-39.
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