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APPEstimation

0.1.1Package record

Adjusted Prediction Model Performance Estimation

0packages depend
3.1Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Calculating predictive model performance measures adjusted for predictor distributions using density ratio method (Sugiyama et al., (2012, ISBN:9781139035613)). L1 and L2 error for continuous outcome and C-statistics for binomial outcome are computed.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Eisuke Inoue <eisuke.inoue@marianna-u.ac.jp>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Eisuke",
                      family = "Inoue",
                      role = c("aut", "cre"),
                      email = "eisuke.inoue@marianna-u.ac.jp"),
               person(given = "Hajime",
                      family = "Uno",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 47 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
5includes a package overview page
Examples that run
100%3 run in a plain check
Exported functions with examples
50%
Documented parameters
100%
Return-value docs
75%
Help pages citing references
20%

Downloads

3.1K
CRAN downloads in the past year
Rank #12,577 · ~9/day · ~262/mo
Daily download trend is not available in this view yet.
27730 days
89690 days
3.1K1 year
Compare downloads with other packages →
Also on91 r2u17 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing APPEstimation adds 1 package (0 with compiled code, 72 KB of source tarballs). Heaviest: densratio 72 KB.

Depends (1)
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (2)

Maintainer since 0.1.1 (2018)

Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.1Latest
    2018-01-05 · current release
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-01-05
Total releases
1 / 8 yrs
License
GPL-2 OSI
Download size
10 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("APPEstimation")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for APPEstimation version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

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.

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