Nonparametric Statistical Methods
Overview
Accompanies the book "Nonparametric Statistical Methods Using R, 2nd Edition" by Kloke and McKean (2024, ISBN:9780367651350). Includes methods, datasets, and random number generation useful for the study of robust and/or nonparametric statistics. Emphasizes classical nonparametric methods for a variety of designs --- especially one-sample and two-sample problems. Includes methods for general scores, including estimation and testing for the two-sample location problem as well as Hogg's adaptive method.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 61
- Examples that run
- 100%49 run in a plain check
- Exported functions with examples
- 69%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 85%
Downloads
Repository
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Dependencies
Code & Tests
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People & History
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- RR 4.6.0 released · 2026-04-24
- 2.0.1Latest
- RR 4.5.0 released · 2025-04-11
- 2.0.02024-05-26 · diff ↗
- RR 4.4.0 released · 2024-04-24
- unarchivedReturned to CRAN2023-11-14
- 1.1.12023-11-14 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-09-20email to the maintainer bounced
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.5.12019-01-25 · diff ↗
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2014-08-04
- Total releases
- 6 / 12 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 68 KB / 29 files
- Download size
- 102 KB
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