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Matrix factorization for multivariate time series with both low rank and temporal structures. The procedure is the one proposed by Alquier, P. and Marie, N. Matrix factorization for multivariate time series analysis. Electronic journal of statistics, 13(2), 4346-4366 (2019).
| Version: | 2.0.19 |
| Depends: | R (≥ 3.5.0) |
| Imports: | softImpute, capushe, fda |
| Published: | 2023-11-16 |
| Author: | Emilie Lebarbier [aut, cre], Nicolas Marie [aut], Amélie Rosier [aut, cre]. |
| Maintainer: | Emilie Lebarbier <emilie.lebarbier at parisnanterre.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | TrendTM results |
| Reference manual: | TrendTM.pdf |
| Package source: | TrendTM_2.0.19.tar.gz |
| Windows binaries: | r-devel: TrendTM_2.0.19.zip, r-release: TrendTM_2.0.19.zip, r-oldrel: TrendTM_2.0.19.zip |
| macOS binaries: | r-release (arm64): TrendTM_2.0.19.tgz, r-oldrel (arm64): TrendTM_2.0.19.tgz, r-release (x86_64): TrendTM_2.0.19.tgz, r-oldrel (x86_64): TrendTM_2.0.19.tgz |
| Old sources: | TrendTM archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.