Package: ctmva 1.4.0
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 and Erjia Cui (2023) "Continuous-time multivariate analysis" <doi:10.48550/arXiv.2307.09404>.
Authors:
ctmva_1.4.0.tar.gz
ctmva_1.4.0.zip(r-4.5)ctmva_1.4.0.zip(r-4.4)ctmva_1.4.0.zip(r-4.3)
ctmva_1.4.0.tgz(r-4.4-any)ctmva_1.4.0.tgz(r-4.3-any)
ctmva_1.4.0.tar.gz(r-4.5-noble)ctmva_1.4.0.tar.gz(r-4.4-noble)
ctmva_1.4.0.tgz(r-4.4-emscripten)ctmva_1.4.0.tgz(r-4.3-emscripten)
ctmva.pdf |ctmva.html✨
ctmva/json (API)
| # Install 'ctmva' in R: |
| install.packages('ctmva', repos = c('https://biplab44.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:b42f35f028. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 04 2024 |
| R-4.5-win | OK | Sep 04 2024 |
| R-4.5-linux | OK | Sep 04 2024 |
| R-4.4-win | OK | Sep 04 2024 |
| R-4.4-mac | OK | Sep 04 2024 |
| R-4.3-win | OK | Sep 04 2024 |
| R-4.3-mac | OK | Sep 04 2024 |
Exports:cca.ctcenter.ctcor.ctcov.ctinprod.centkmeans.ctlda.ctmeanbasispca.ctplot.kmeans.ctplot.lda.ctplot.silhouette.ctsilhouette.ctstandardize.ct
Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpolynompracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Continuous-time multivariate analysis | ctmva-package ctmva |
| Continuous-time canonical correlation analysis | cca.ct |
| 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 |
| 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 a silhouette.ct object | plot.silhouette.ct |
| Silhouettes for continuous-time k-means clustering | silhouette.ct |
| Center and scale a continuous-time multivariate data set | standardize.ct |
