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ctmva

1.6.0Package record

Continuous-Time Multivariate Analysis

0packages depend
3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements a basis function or functional data analysis framework for several techniques of multivariate analysis in continuous-time setting. Specifically, we introduced continuous-time analogues of several classical techniques of multivariate analysis, such as principal component analysis, canonical correlation analysis, Fisher linear discriminant analysis, K-means clustering, and so on. Details are in Biplab Paul, Philip T. Reiss, Erjia Cui and Noemi Foa (2025) "Continuous-time multivariate analysis" <doi: 10.1080/10618600.2024.2374570>.

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.6.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
24 (2 internal)
Examples that run
18%3 run in a plain check (2 of them under a condition) · 5 never run · 9 hold no code
Exported functions with examples
73%
Documented parameters
81%
Return-value docs
95%
Help pages citing references
4%

Downloads

3K
CRAN downloads in the past year
Rank #15,177 · ~8/day · ~249/mo
Daily download trend is not available in this view yet.
32130 days
79590 days
3K1 year
Compare downloads with other packages →
Also on105 r2u11 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing ctmva adds 40 packages (24 with compiled code, 34 MB of source tarballs). Heaviest: ggplot2 6.0 MB, fds 3.7 MB, mclust 2.7 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 1.0 (2022)
Author · added in 1.5.0
Author · added in 1.5.0
Author · added in 1.2.0
Listed in earlier versions (1)
Philip Tzvi
no longer listed · 1.0 to 1.1.0
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.6.0Latest
    record
    2026-02-01 · current release · diff ↗ ·
    added 4 exports
    mds.ct, procrustes.mds.ct, procrustes.plot.mds, s3
  • 1.5.0
    record
    2025-11-20 · diff ↗ ·
    added 4 exports
    ccor, ccor_boot, ccor_oneboot, ccor_posim
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.4.0
    record
    2024-02-06 · diff ↗ ·
    added 2 exports
    plot.silhouette.ct, silhouette.ct
  • 1.3.0
    record
    2023-07-19 · diff ↗
  • 1.2.0
    record
    2023-07-04 · diff ↗ ·
    added 2 exports
    center.ct, standardize.ct
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.0
    record
    2022-12-20 · diff ↗
  • 1.0
    record
    2022-08-18
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-08-18
Total releases
7 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Download size
31 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ctmva")
Paul, B., Arbiv, D., Foa, N., & Reiss, P. T. (2026). ctmva: Continuous-Time Multivariate Analysis (Version 1.6.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ctmva

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 ctmva version 1.6.0 [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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