CptNonPar
0.3.2Nonparametric Change Point Detection for Multivariate Time Series
Overview
Implements the nonparametric moving sum procedure for detecting changes in the joint characteristic function (NP-MOJO) for multiple change point detection in multivariate time series. See McGonigle, E. T., Cho, H. (2025) doi:10.1093/biomet/asaf024 for description of the NP-MOJO methodology.
Install
Health
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Repository
Stars over time
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 2.0 median / 43 max
- Test cases
- 46 / 0.35 per code line
- Documented parameters
- 96%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
27 4 exported
Complexity
8.1 avg / 43 max
Call network
27 nodes / 19 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-06-13
- Total releases
- 5 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 21 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet