Package: ctmva 1.6.0

ctmva: Continuous-Time Multivariate Analysis

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>.

Authors:Biplab Paul [aut, cre], Philip Tzvi Reiss [aut], Noemi Foa [aut], Dror Arbiv [aut]

ctmva_1.6.0.tar.gz
ctmva_1.6.0.zip(r-4.7)ctmva_1.6.0.zip(r-4.6)ctmva_1.6.0.zip(r-4.5)
ctmva_1.6.0.tgz(r-4.6-any)ctmva_1.6.0.tgz(r-4.5-any)
ctmva_1.6.0.tar.gz(r-4.7-any)ctmva_1.6.0.tar.gz(r-4.6-any)
ctmva_1.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ctmva/json (API)

# Install 'ctmva' in R:

install.packages('ctmva', repos = c('https://biplab44.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 198 downloads 22 exports 46 dependencies

Last updated from:a6fc98a548. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	176
source / vignettes	OK	246
linux-release-x86_64	OK	171
macos-release-arm64	OK	245
macos-oldrel-arm64	OK	238
windows-devel	OK	121
windows-release	OK	96
windows-oldrel	OK	145
wasm-release	OK	122

Exports:cca.ct ccor ccor_boot ccor_oneboot ccor_posim center.ct cor.ct cov.ct inprod.cent kmeans.ct lda.ct mds.ct meanbasis pca.ct plot.kmeans.ct plot.lda.ct plot.silhouette.ct procrustes.mds.ct procrustes.plot.mds s3 silhouette.ct standardize.ct

Dependencies:ash bitops cli cluster colorspace cpp11 deSolve farver fda fds FNN ggplot2 glue gtable hdrcde isoband kernlab KernSmooth ks labeling lattice lifecycle locfit MASS Matrix mclust mgcv multicool mvtnorm nlme pcaPP permute polynom pracma R6 rainbow RColorBrewer Rcpp RCurl rlang S7 scales vctrs vegan viridisLite withr

Help page	Topics
Continuous-time canonical correlation analysis	cca.ct
Curve correlation	ccor
Bootstrap confidence interval estimation for curve correlation	ccor_boot
Credible interval estimation for curve correlation based on posterior simulation	ccor_posim
Center a continuous-time multivariate data set	center.ct
Continuous-time correlation or cross-correlation matrix	cor.ct
Continuous-time covariance or cross-covariance matrix	cov.ct
Centered inner product matrix for a basis or pair of bases	inprod.cent
Continuous-time k-means clustering	kmeans.ct
Continuous-time Fisher's linear discriminant analysis	lda.ct
Continuous-time multidimensional scaling	mds.ct
Compute means of basis functions	meanbasis
Continuous-time principal component analysis	pca.ct
Plot a kmeans.ct object	plot.kmeans.ct
Plot an lda.ct object	plot.lda.ct
Plot an mds.ct object	plot.mds.ct
Plot a silhouette.ct object	plot.silhouette.ct
Procrustes transformation for continuous-time multidimensional scaling	procrustes.mds.ct
Plot of classical and continuous-time principal coordinates	procrustes.plot.mds
Symmetric sandwich smoother	s3
Silhouettes for continuous-time k-means clustering	silhouette.ct
Center and scale a continuous-time multivariate data set	standardize.ct

Package: ctmva 1.6.0

ctmva: Continuous-Time Multivariate Analysis

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)