Correction of the P-Value after Multiple Coding in Generalized Linear Models
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- OKnotes on 2 of 13
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- 266−20.6% down on the 30 days before, the worse direction
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We propose to determine the correction of the significance level after multiple coding of an explanatory variable in Generalized Linear Model. The different methods of correction of the p-value are the Single step Bonferroni procedure, and resampling based methods developed by P.H.Westfall in 1993.
Full description
We propose to determine the correction of the significance level after multiple coding of an explanatory variable in Generalized Linear Model. The different methods of correction of the p-value are the Single step Bonferroni procedure, and resampling based methods developed by P.H.Westfall in 1993. Resampling methods are based on the permutation and the parametric bootstrap procedure. If some continuous, and dichotomous transformations are performed this package offers an exact correction of the p-value developed by B.Liquet & D.Commenges in 2005. The naive method with no correction is also available.
- Maintainer
- Jeremie Riou
- Licence
- GPL (> 2)
- Latest release
- 6 Dec 2017
- First release
- 29 Mar 2012
More details
- Releases
- 3
- Needs compilation
- No
- Needs R
- >= 2.10.0
- Date
- 2017-11-28
Subjects (1) Method, SubjectsMethod
Subjects and collections
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- Who made each
- Subjects are marked Site and collections Community. Subjects, collections and task views are never mixed in one list.
- The day of the data
- Subjects and collections were last worked out on 22 Oct 2026.
Cite
Package
Run in R for the authors' preferred citation:
citation("CPMCGLM")R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
Balamuta, J. J. (2026). R Observatory: Metrics for CPMCGLM version 1.2 [Data set]. HJJB, LLC. Data release v2026-10-27. https://doi.org/10.5281/zenodo.21843040
About
From data release v2026-10-27, which the citation names so these numbers can be found later.
Health
No warnings or errors. 2 of 13 check platforms have notes.
r-devel-linux-x86_64-debian-clangThe unreleased R on Linux, x86_64, debian-clang
Note
- Version checked
- 1.2
- Time taken
- 37 s
CRAN incoming feasibility: Note
Maintainer: ‘Jeremie Riou <jeremie.riou@univ-angers.fr>’
r-devel-linux-x86_64-debian-gccThe unreleased R on Linux, x86_64, debian-gcc
Note
- Version checked
- 1.2
- Time taken
- 29 s
CRAN incoming feasibility: Note
Maintainer: ‘Jeremie Riou <jeremie.riou@univ-angers.fr>’
r-devel-linux-x86_64-fedora-clangThe unreleased R on Linux, x86_64, fedora-clang
OK
- Version checked
- 1.2
- Time taken
- 25 s
r-devel-linux-x86_64-fedora-gccThe unreleased R on Linux, x86_64, fedora-gcc
OK
- Version checked
- 1.2
- Time taken
- 24 s
r-devel-windows-x86_64The unreleased R on Windows, x86_64
OK
- Version checked
- 1.2
- Time taken
- 66 s
r-oldrel-macos-arm64The previous release of R on macOS, arm64
OK
- Version checked
- 1.2
r-oldrel-macos-x86_64The previous release of R on macOS, x86_64
OK
- Version checked
- 1.2
- Time taken
- 37 s
r-oldrel-windows-x86_64The previous release of R on Windows, x86_64
OK
- Version checked
- 1.2
- Time taken
- 59 s
r-patched-linux-x86_64The patched release of R on Linux, x86_64
OK
- Version checked
- 1.2
- Time taken
- 34 s
r-release-linux-x86_64The current release of R on Linux, x86_64
OK
- Version checked
- 1.2
- Time taken
- 35 s
r-release-macos-arm64The current release of R on macOS, arm64
OK
- Version checked
- 1.2
- Time taken
- 12 s
r-release-macos-x86_64The current release of R on macOS, x86_64
OK
- Version checked
- 1.2
- Time taken
- 41 s
r-release-windows-x86_64The current release of R on Windows, x86_64
OK
- Version checked
- 1.2
- Time taken
- 53 s
- 2 Note
- 11 OK
Check output (1)
CRAN incoming feasibility, Note on 2 platforms
Maintainer: ‘Jeremie Riou <jeremie.riou@univ-angers.fr>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Jeremie",
family = "Riou",
role = c("aut", "cre"),
email = "jeremie.riou@univ-angers.fr"),
person(given = "Benoit",
family = "Liquet",
role = "aut"))
as necessary.Downloads
Method, Downloads Method Download figures count requests logged by each distribution channel. They are not counts of installs or of users, because each channel publishes its own totals and this site reads them.Downloads
- Total downloads in the last 30 days
- 270−22.2% down on the 30 days before, the worse directionIt is the sum of 3 channels: CRAN, r2u and autoCRAN.
CRAN rank
16,174 of 26,529
CRAN
266 downloads in the last 30 days
- Rank
- 16,174 of 26,529
- Change
- −20.6% down on the 30 days before, the worse direction
It is in the total. Take it out
r2u
1 downloads in the last 30 days
- Rank
- 19,986 of 30,526
- Change
- −85.7% down on the 30 days before, the worse direction
It is in the total. Take it out
autoCRAN
3 downloads in the last 30 days
- Rank
- 17,610 of 29,212
- Change
- −40% down on the 30 days before, the worse direction
It is in the total. Take it out
The total is 270 downloads in the last 30 days. It is the sum of 3 channels: CRAN, r2u and autoCRAN.
Over time
Dependencies
Code
Method, Code Method Code metrics come from reading the released source of each package version. The package is never installed, loaded or run.Code metrics
README, vignettes, a NEWS file and the shares read from its help pages. Files kept only in the repository, such as a pkgdown configuration or CI files, are read by the repository scan instead.
- Functions
- 13
- Public exports
- 13
- Lines of R code
- 1,275
- Median complexity
- 8
Functions (13)
Size and composition
Lines by kind (1,626)
| Kind | Lines | Share |
|---|---|---|
| R code | 1,275 | 78% |
| Documentation | 351 | 22% |
Lines by language
| Language | Lines | Share |
|---|---|---|
| R | 1,275 | 78% |
| Rd | 351 | 22% |
Languages are counted from file extensions.
- Files
- 22
- R functions
- 13
- Object systems
- S3: 2 methods
Complexity
- Median
- 8
- Mean
- 21.69
- Highest
- 107
- Median lines per function
- 52
About complexity
Cyclomatic complexity counts the independent paths through a function: 1 is a straight line, higher is harder to test. R functions only.
Call graph figures
- R functions
- 13
- Calls
- 10
- Unconnected
- 2
- Groups
- 1
Growth (3 releases)
Release changes
Tests
The package was built and has no tests to run.
- Lines of tests
- 0
- Exports named in tests
- 0%
Test suite
- Has tests
- No
- Test frameworks
- No tests in this release
- Test lines per line of code
- 0
Documentation
- Exports documented
- 100%
- Arguments documented
- 100%
- Return value documented
- 100%
- Help pages with examples
- 80%
- Examples run in checks
- 25%
Other documentation
- README
- No
- Release notes file
- No
- Help pages
- 5
- Lines of documentation
- 351
Datasets
Method, Datasets Method The datasets inside packages are read from their R objects in datasets
data/ folders when the code is analysed. Each object is described by its class, its shape and its columns, and fingerprinted so the same data can be found in other packages.data() are listed, 76,158 on CRAN and 8,045 on Bioconductor, so the list is not every file in data/.
| Dataset | Size | Columns |
|---|---|---|
| data_ | 100 × 8 | Height, Weight, Age, Smoke, Sport, Desease and 2 more |
People
Method, People Method People on the site are the names packages give them in their Author and maintainer identity
DESCRIPTION files: authors from the author list, and the maintainer from the Maintainer field. Spellings of one name become one person only where the rules below allow it, and when in doubt the rules keep people apart.
Maintainer since 1.0 (2012)
Earlier names (1)
- Amadou Diakite
Repository
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URL and BugReports fields of its DESCRIPTION file. Read-only mirrors, the cran and bioc accounts on GitHub and git.bioconductor.org, are left out.
No repository on record
History
Method, History Method Archived is built from CRAN's archive records, its list of check deadlines and Bioconductor's package records. Every figure is counted to 27 Oct 2026, the day the data was read.Packages leaving