Package: tempted
Type: Package
Title: Temporal Tensor Decomposition, a Dimensionality Reduction Tool
        for Longitudinal Multivariate Data
Version: 0.1.2
Date: 2026-8-26
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
Config/pak/sysreqs: make
Repository: https://pixushi.r-universe.dev
Date/Publication: 2026-08-27 13:25:44 UTC
RemoteUrl: https://github.com/pixushi/tempted
RemoteRef: HEAD
RemoteSha: 4062dca4db6e6c51ab2fa9d8449448fc0f15b108
NeedsCompilation: no
Packaged: 2026-09-26 09:45:42 UTC; root