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vdar

0.1.3-2Package record

Discriminant Analysis Incorporating Individual Uncertainties

0packages depend
2.4Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

The qda() function from package 'MASS' is extended to calculate a weighted linear (LDA) and quadratic discriminant analysis (QDA) by changing the group variances and group means based on cell-wise uncertainties. The uncertainties can be derived e.g. through relative errors for each individual measurement (cell), not only row-wise or column-wise uncertainties. The method can be applied compositional data (e.g. portions of substances, concentrations) and non-compositional data.

Changes in 0.1.3-2

Compatability with package compositions 2.0.4

  • new version of compositions required minor corrections, respectively work arounds could be simplified

Bugfix: DA has now a droplevels

  • in the grouping argument of the DA function, now empty levels of the factor are dropped.
  • This avoids that too small groups occur

NEWS.md setup

  • added NEWS.md creation with newsmd

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Solveig Pospiech <s.pospiech@hzdr.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Solveig",
                    family = "Pospiech",
                    role = c("aut", "cre"),
                    email = "s.pospiech@hzdr.de")
as necessary.

CRAN check page ↗

Slowest check: 1.0 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.3-2
READMENoVignettesNoNEWSYes · 67% structured · mentions 0.1.3-2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
12
Examples that run
100%2 run in a plain check
Exported functions with examples
50%
Documented parameters
83%
Return-value docs
100%
Help pages citing references
17%

Downloads

2.4K
CRAN downloads in the past year
Rank #21,071 · ~7/day · ~203/mo
Daily download trend is not available in this view yet.
25930 days
62690 days
2.4K1 year
Compare downloads with other packages →
Also on64 r2u1 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing vdar adds 7 packages (6 with compiled code, 9.9 MB of source tarballs). Heaviest: compositions 2.7 MB, robustbase 2.2 MB, bayesm 2.1 MB.

Depends (1)
R >= 3.6.0
Imports (1)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)
Author, Maintainer since 0.1.1 (2020)
Listed in earlier versions (1)
no longer listed · 0.1.1 to 0.1.3
Releases (4)

Pick two releases to compare their code metrics.

  • 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
  • 0.1.3-2Latest
    record
    2022-01-04 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.3
    record
    2020-07-17 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.2-1
    record
    2020-03-19 · diff ↗
  • 0.1.1
    record
    2020-03-10
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-03-10
Total releases
4 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.6.0
Bundled data
24 KB / 6 files
Download size
37 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("vdar")

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 vdar version 0.1.3-2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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