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HDcpDetect

0.1.0Package record

Detect Change Points in Means of High Dimensional Data

1packages depend
2.1Kdownloads / year
–test coverage
0/13flavors OK

Overview

About

Objective: Implement new methods for detecting change points in high-dimensional time series data. These new methods can be applied to non-Gaussian data, account for spatial and temporal dependence, and detect a wide variety of change-point configurations, including changes near the boundary and changes in close proximity. Additionally, this package helps address the “small n, large p” problem, which occurs in many research contexts. This problem arises when a dataset contains changes that are visually evident but do not rise to the level of statistical significance due to the small number of observations and large number of parameters. The problem is overcome by treating the dimensions as a whole and scaling the test statistics only by its standard deviation, rather than scaling each dimension individually. Due to the computational complexity of the functions, the package runs best on datasets with a relatively large number of attributes but no more than a few hundred observations.

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) HAPT.Rd:8: Lost braces
     8 | \item{\samp{1}{X0.043579674}}{a numeric vector}
       |               ^
checkRd: (-1) HAPT.Rd:9: Lost braces
     9 | \item{\samp{2}{X.0.005970221}}{a numeric vector}
       |               ^
checkRd: (-1) HAPT.Rd:10: Lost braces
    10 | \item{\samp{3}{X.0.035054344}}{a numeric vector}
       |               ^
checkRd: (-1) HAPT.Rd:11: Lost braces
    11 | \item{\samp{4}{X.0.99538116}}{a numeric vector}
       |               ^
checkRd: (-1) HAPT.Rd:12: Lost braces
    12 | \item{\samp{5}{X.0.988365863}}{a numeric vector}
       |               ^
checkRd: (-1) HAPT.Rd:13: Lost braces
    13 | \item{\samp{6}{X.0.937382005}}{a numeric vector}
       |               ^
checkRd: (-1) HAPT.Rd:14: Lost braces
    14 | \item{\samp{7}{X.0.995007045}}{a numeric vector}
       |               ^
checkRd: (-1) HAPT.Rd:15: Lost braces
    15 | \item{\samp{8}{X.0.988815577}}{a numeric vector}
       |               ^
checkRd: (-1) HAPT.Rd:16: Lost brace
...[truncated]...
Rd: (-1) HAPT.Rd:561: Lost braces
   561 | \item{\samp{554}{X.0.713307812}}{a numeric vector}
       |                 ^
checkRd: (-1) HAPT.Rd:562: Lost braces
   562 | \item{\samp{555}{X.0.112754341}}{a numeric vector}
       |                 ^
checkRd: (-1) HAPT.Rd:563: Lost braces
   563 | \item{\samp{556}{X0.030400372}}{a numeric vector}
       |                 ^
checkRd: (-1) HAPT.Rd:564: Lost braces
   564 | \item{\samp{557}{X.0.464761386}}{a numeric vector}
       |                 ^
checkRd: (-1) HAPT.Rd:565: Lost braces
   565 | \item{\samp{558}{X.0.018445884}}{a numeric vector}
       |                 ^
checkRd: (-1) HAPT.Rd:566: Lost braces
   566 | \item{\samp{559}{X.0.841558511}}{a numeric vector}
       |                 ^
checkRd: (-1) HAPT.Rd:567: Lost braces
   567 | \item{\samp{560}{X0.179912811}}{a numeric vector}
       |                 ^
checkRd: (-1) HAPT.Rd:568: Lost braces
   568 | \item{\samp{561}{X.0.051718416}}{a numeric vector}
       |                 ^
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Natasha Stewart <natashastewart@utexas.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Jeffrey",
                      family = "Okamoto",
                      role = "aut"),
               person(given = "Natasha",
                      family = "Stewart",
                      role = c("aut", "cre"),
                      email = "natashastewart@utexas.edu"),
               person(given = c("Dr.", "Jun"),
                      family = "Li",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 2.1 min · r-devel-windows-x86_64
Status changes
  • NOTE13 NOTENow
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 287 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Downloads

2.1K
CRAN downloads in the past year
Rank #22,019 · ~6/day · ~178/mo
Daily download trend is not available in this view yet.
24130 days
59590 days
2.1K1 year
Compare downloads with other packages →
Also on381 r2u6 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing HDcpDetect adds no packages beyond those that come with R.

Depends (1)
R >= 2.10
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (from the free-text Author field) (3)

Maintainer since 0.1.0 (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
  • 0.1.0Latest
    2018-09-28 · current release
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-09-28
Total releases
1 / 8 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
2.2 MB / 3 files
Download size
2.2 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HDcpDetect")

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 HDcpDetect version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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