Guan-Hua Huang, Ph.D.
Institute of Statistics
National Yang Ming Chiao Tung University
No. 1001, Daxue Rd., East Dist.
Hsinchu City 300093, TAIWAN

Tel: +886-3-513-1334
Fax: +886-3-572-8745
ghuang@nycu.edu.tw
Office: 423 Assembly Building 1

Home > Software

last updated October 13, 2026

All of the software is licensed under the GNU General Public License. Download and use of this software implies agreement to the terms in that license.

StatLLaMA

Version 1.00 (August, 2025)

This research introduces StatLLaMA, a highly capable, lightweight language model specialized for the domain of statistics. The project encompasses a complete end-to-end workflow, from sophisticated data engineering pipelines for corpus creation to the systematic training and evaluation methodologies that led to its development.

Paper: StatLLaMA: Multi-stage training for domain-optimized statistical large language models

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EnFormer

Version 1.00 (August, 2024)

This project is developed based on the timm framework https://github.com/huggingface/pytorch-image-models specifically for Polyp Segmentation.

Paper: Ensemble architecture in polyp segmentation

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Bayesian_RLCA

Version 1.00 (February 13, 2015)

A group of C++ programs for performing Bayesian inferences of latent class models with an unknown number of classes via reversible jump Markov Chain Monte Carlo.

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History of changes


RLCA

Version 0.2-7 (October 26, 2005)

An R package for doing regression extension of latent class analysis. The package can fit the RLCA model, and select the number of classses to fit for the RLCA model.

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History of changes