Software

Code you can run

Packages, teaching tools, and the code behind the papers. Everything here is public on GitHub.

01
anytimeCAT
In development — public release planned

R package: anytime-valid confidence sequences for the latent ability in computerized adaptive testing (2PL), a fixed-sample Wald baseline, a censored MLE, and a CAT simulator with sequence-based stopping. Repository opens with v0.1.

Paper: Yang (2026), Precision and Robustness in Adaptive Testing (dissertation)
02
clt-interactive-course
Live

Interactive teaching tool for the Central Limit Theorem: choose a population distribution, sample size, and number of repetitions, then run a batch simulation to compare a histogram of sample means with a normal curve. Live at hardy1yang.github.io/clt-interactive-course.
03
Generalized_RM_supplementary
Published

R code that reproduces the simulations and figures of the generalized Robbins–Monro paper.

Paper: Journal of Mathematical Psychology, 2024 — doi:10.1016/j.jmp.2024.102855
04
RF-GCM-Public
Published — paper accepted at Journal of Classification

Random forest aggregation with the General Condorcet Model for imbalanced classification; full experimental pipeline over 17 benchmark datasets.

Paper: Ho, Yang, & Hsu (2026), Journal of Classification (accepted, forthcoming; Ho and Yang are co-first authors)
05
eduspec-sdd-template
Published

Specification-driven template for turning course notes into slides, worksheets, quizzes, interactive pages, and a course-specific AI teaching assistant; used in the Taiwan Economic Association workshops.

anytimeCAT