numspellR: Detection of Numeric Persistence and Rigidity Patterns

2026 Dataset Open access

Read full text
Authors: Joko Ade Nursiyono
DOI: 10.32614/cran.package.numspellr
Cited by: 0

Abstract

Tools for detecting numeric persistence ("spells") and rigidity patterns in time-ordered numeric data. The package identifies periods of stability, computes spell-based rigidity metrics, and provides plain-language interpretations suitable for policy and applied analysis.

Fields of Study & Subjects

Data Analysis with R Time Series Analysis and Forecasting Statistical Methods and Applications

Publication details

Publication date
6 February 2026
Document type
Dataset