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RandPro

0.2.2Package record

Random Projection with Classification

0packages depend
2.5Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Performs random projection using Johnson-Lindenstrauss (JL) Lemma (see William B.Johnson and Joram Lindenstrauss (1984) doi:10.1090/conm/026/737400). Random Projection is a dimension reduction technique, where the data in the high dimensional space is projected into the low dimensional space using JL transform. The original high dimensional data matrix is multiplied with the low dimensional projection matrix which results in reduced matrix. The projection matrix can be generated using the projection function that is independent to the original data. Then finally apply the classification task on the projected data.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Siddharth R <r.siddharthcse@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Aghila",
                      family = "G",
                      role = "aut"),
               person(given = "Siddharth",
                      family = "R",
                      role = c("aut", "cre"),
                      email = "r.siddharthcse@gmail.com"))
as necessary.

CRAN check page ↗

Slowest check: 2.7 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE11 OK, 2 NOTE2026-05-02
  • ERROR9 OK, 2 NOTE, 1 ERROR2026-04-25
  • NOTE9 OK, 5 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.2
READMEYes · 275 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.5K
CRAN downloads in the past year
Rank #19,607 · ~7/day · ~209/mo
Daily download trend is not available in this view yet.
21530 days
68090 days
2.5K1 year
Compare downloads with other packages →
Also on67 r2u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing RandPro adds 63 packages (34 with compiled code, 48 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
Imports (2)
statse1071
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 0.1.0 (2017)

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
  • R
    R 4.1.0 released · 2021-05-18
  • 0.2.2Latest
    record
    2020-07-19 · current release · diff ↗
  • 0.2.1
    record
    2020-07-11 · diff ↗
  • 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
  • 0.2.0
    record
    2018-01-10 · diff ↗ ·
    removed 3 exports
    find_dim_JL, form_gauss_matrix, form_sparse_matrix
    added 3 exports
    classify, dimension, form_matrix
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.0
    record
    2017-01-11
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-01-11
Total releases
4 / 9 yrs
License
GPL (>= 2) OSI
Download size
7.0 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RandPro")

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 RandPro version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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