Research paper

AssumpSure: a user‑friendly R Shiny package for automated validation of statistical assumptions and appropriate test selection

Research from Open JournalsPublished by Journal of Open Source Software11 November 2025PDF

See how a Shiny application checks statistical assumptions and helps users choose an appropriate test.

AssumpSure: a user‑friendly R Shiny package for automated validation of statistical assumptions and appropriate test selection cover

Resource access

Get the full resource

Enter your business details to read the full resource.

First nameLast nameWork emailCompanyJob titleCountry or region

Ahmed Bargheet. AssumpSure: a user‑friendly R Shiny package for automated validation of statistical assumptions and appropriate test selection. Journal of Open Source Software. 10.21105/joss.09286. CC BY 4.0. Original PDF, unmodified.

CC BY 4.0

AssumpSure: a user‑friendly R Shiny package for automated validation of statistical assumptions and appropriate test selection

Related research.

Metaxy: Record-Level Feature Metadata Management for Multimodal ML Pipelines

BenchmarkDataNLP.jl: Synthetic Data Generation for NLP Benchmarking

ETLForge: A unified framework for synthetic test-data generation and ETL validation