diproperm: An R Package for the DiProPerm Test

2020-08-30 · Andrew G. Allmon, J. S. Marron, Michael G. Hudgens

High-dimensional low sample size (HDLSS) data sets emerge frequently in many biomedical applications. A common task for analyzing HDLSS data is to assign data to the correct class using a classifier. Classifiers which use two labels and a linear combination of features are known as binary linear classifiers. The direction-projection-permutation (DiProPerm) test was developed for testing the difference of two high-dimensional distributions induced by a binary linear classifier. This paper discusses the key components of the DiProPerm test, introduces the diproperm R package, and demonstrates the package on a real-world data set.

📄 PDF Abstract BibTeX arXiv:2009.00003

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HFuzzer: Testing Large Language Models for Package Hallucinations via Phrase-based Fuzzing

2025-09-28 · Yukai Zhao, Menghan Wu, Xing Hu, Xin Xia arxiv

Large Language Models (LLMs) are widely used for code generation, but they face critical security risks when applied to practical production due to package hallucinations, in which LLMs recommend non-existent packages. T…

Code Generation

hyppo: A Multivariate Hypothesis Testing Python Package

2019-07-03 · Sambit Panda, Satish Palaniappan, Junhao Xiong, Eric W. Bridgeford 외

We introduce hyppo, a unified library for performing multivariate hypothesis testing, including independence, two-sample, and k-sample testing. While many multivariate independence tests have R packages available, the in…

Two-sample testing

bootUR: An R Package for Bootstrap Unit Root Tests

2020-07-23 · Stephan Smeekes, Ines Wilms

Unit root tests form an essential part of any time series analysis. We provide practitioners with a single, unified framework for comprehensive and reliable unit root testing in the R package bootUR.The package's backbon…

Time Series Time Series Analysis

PySDTest: a Python/Stata Package for Stochastic Dominance Tests

2023-07-20 · Kyungho Lee, Yoon-Jae Whang

We introduce PySDTest, a Python/Stata package for statistical tests of stochastic dominance. PySDTest implements various testing procedures such as Barrett and Donald (2003), Linton et al. (2005), Linton et al. (2010), a…

LLT: An R package for Linear Law-based Feature Space Transformation

2023-04-27 · Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác

The goal of the linear law-based feature space transformation (LLT) algorithm is to assist with the classification of univariate and multivariate time series. The presented R package, called LLT, implements this algorith…

Time Series