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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.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.2.0), np (≥ 0.60-17), ggplot2 (≥ 3.4.0), methods (≥ 4.2.1) |
| Published: | 2024-05-09 |
| Author: | Pixu Shi |
| Maintainer: | Pixu Shi <pixu.shi at duke.edu> |
| License: | GPL-3 |
| URL: | https://github.com/pixushi/tempted |
| NeedsCompilation: | no |
| Citation: | tempted citation info |
| CRAN checks: | tempted results |
| Reference manual: | tempted.pdf |
| Package source: | tempted_0.1.1.tar.gz |
| Windows binaries: | r-devel: tempted_0.1.1.zip, r-release: tempted_0.1.1.zip, r-oldrel: tempted_0.1.1.zip |
| macOS binaries: | r-release (arm64): tempted_0.1.1.tgz, r-oldrel (arm64): tempted_0.1.1.tgz, r-release (x86_64): tempted_0.1.1.tgz, r-oldrel (x86_64): tempted_0.1.1.tgz |
| Old sources: | tempted archive |
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