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ctmva  

Continuous-Time Multivariate Analysis
View on CRAN: Click here


Download and install ctmva package within the R console
Install from CRAN:
install.packages("ctmva")

Install from Github:
library("remotes")
install_github("cran/ctmva")

Install by package version:
library("remotes")
install_version("ctmva", "1.4.0")



Attach the package and use:
library("ctmva")
Maintained by
Biplab Paul
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-18
Latest Update: 2023-07-19
Description:
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 and Erjia Cui (2023) "Continuous-time multivariate analysis" .
How to cite:
Biplab Paul (2022). ctmva: Continuous-Time Multivariate Analysis. R package version 1.4.0, https://cran.r-project.org/web/packages/ctmva. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0 (2022-08-18 10:50), 1.1.0 (2022-12-20 12:40), 1.2.0 (2023-07-04 15:03), 1.3.0 (2023-07-19 23:40)
Other packages that cited ctmva R package
View ctmva citation profile
Other R packages that ctmva depends, imports, suggests or enhances
Complete documentation for ctmva
Functions, R codes and Examples using the ctmva R package
Some associated functions: cca.ct . center.ct . cor.ct . cov.ct . ctmva-package . inprod.cent . kmeans.ct . lda.ct . meanbasis . pca.ct . plot.kmeans.ct . plot.lda.ct . standardize.ct . 
Some associated R codes: cca.ct.R . center.ct.R . cor.ct.R . cov.ct.R . ctmva-package.R . inprod.cent.R . kmeans.ct.R . lda.ct.R . meanbasis.R . pca.ct.R . plot.kmeans.ct.R . plot.lda.ct.R . standardize.ct.R .  Full ctmva package functions and examples
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