Continuous-Time Multivariate Analysis R package ctmva version 1.6.0 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>. Software Depends: R (>= 4.1.0) Imports: fda, polynom, MASS, mgcv, Matrix, ggplot2, rlang, vegan, viridisLite Suggests: dplyr, wbwdi Biplab Paul <paul.biplab497@gmail.com> Comprehensive R Archive Network (CRAN) Biplab Paul [aut, cre], Philip Tzvi Reiss [aut], Noemi Foa [aut], Dror Arbiv [aut] GPL (>= 2) 2026-02-01 application/tgz https://CRAN.R-project.org/package=ctmva doi:10.32614/CRAN.package.ctmva