Package: tempted
Type: Package
Title: Temporal Tensor Decomposition, a Dimensionality Reduction Tool
        for Longitudinal Multivariate Data
Version: 0.1.1
Date: 2024-5-8
Depends: R (>= 4.2.0), np (>= 0.60-17), ggplot2 (>= 3.4.0), methods (>=
        4.2.1)
Author: Pixu Shi
Maintainer: Pixu Shi <pixu.shi@duke.edu>
Description: 
    TEMPoral TEnsor Decomposition (TEMPTED), is a dimension reduction method for multivariate longitudinal data with varying temporal sampling. It formats the data into a temporal tensor and decomposes it into a summation of low-dimensional components, each consisting of a subject loading vector, a feature loading vector, and a continuous temporal loading function. These loadings provide a low-dimensional representation of subjects or samples and can be used to identify features associated with clusters of subjects or samples. TEMPTED provides the flexibility of allowing subjects to have different temporal sampling, so time points do not need to be binned, and missing time points do not need to be imputed.
URL: https://github.com/pixushi/tempted
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2024-05-09 02:14:27 UTC; pixushi
Repository: CRAN
Date/Publication: 2024-05-09 02:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 10:47:50 UTC; unix
