Calculate Second-Generation p-Values and Associated Measures
Overview
Computation of second-generation p-values as described in Blume et al. (2018) doi:10.1371/journal.pone.0188299 and Blume et al. (2019) doi:10.1080/00031305.2018.1537893. There are additional functions which provide power and type I error calculations, create graphs (particularly suited for large-scale inference usage), and a function to estimate false discovery rates based on second-generation p-value inference.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 96%
- Return-value docs
- 50%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing sgpv adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.1.0Latest
- 1.0.02020-07-06
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-07-06
- Total releases
- 2 / 6 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.3.3
- Bundled data
- 337 KB / 1 file
- Download size
- 350 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("sgpv")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.