nptest
1.2Nonparametric Bootstrap and Permutation Tests
Overview
Robust nonparametric bootstrap and permutation tests for goodness of fit, distribution equivalence, location, correlation, and regression problems, as described in Helwig (2019a) doi:10.1002/wics.1457 and Helwig (2019b) doi:10.1016/j.neuroimage.2019.116030. Univariate and multivariate tests are supported. For each problem, exact tests and Monte Carlo approximations are available. Five different nonparametric bootstrap confidence intervals are implemented. Parallel computing is implemented via the 'parallel' package.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Code & Tests
- Cyclomatic complexity
- 4.0 median / 52 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
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Functions
73 0 exported
Complexity
8.4 avg / 52 max
Call network
73 nodes / 76 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
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.12023-04-14 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0-32021-03-01 · diff ↗
- 1.0-22020-10-01 · diff ↗
- 1.0-12020-09-11 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.0-02019-04-23
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-04-23
- Total releases
- 6 / 7 yrs
- License
- GPL (>= 2) OSI
- Download size
- 44 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet