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Functions to estimate temporally regularized matrix factorizations (TRMF) for forecasting and imputing values in short but high-dimensional time series. Uses regularized alternating least squares to compute the factorization, allows for several types of constraints on matrix factors and natively handles weighted and missing data.
| Version: | 0.2.1 |
| Imports: | Matrix (≥ 1.3-3), limSolve, generics |
| Suggests: | magrittr, knitr, rmarkdown |
| Published: | 2024-06-13 |
| DOI: | 10.32614/CRAN.package.TRMF |
| Author: | Chad Hammerquist [aut, cre], Scentsy Inc [cph] |
| Maintainer: | Chad Hammerquist <chammerquist at scentsy.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | MissingData |
| CRAN checks: | TRMF results |
| Reference manual: | TRMF.pdf |
| Vignettes: |
TRMF (Temporally Regularized Matrix Factorization) |
| Package source: | TRMF_0.2.1.tar.gz |
| Windows binaries: | r-devel: TRMF_0.2.1.zip, r-release: TRMF_0.2.1.zip, r-oldrel: TRMF_0.2.1.zip |
| macOS binaries: | r-release (arm64): TRMF_0.2.1.tgz, r-oldrel (arm64): TRMF_0.2.1.tgz, r-release (x86_64): TRMF_0.2.1.tgz, r-oldrel (x86_64): TRMF_0.2.1.tgz |
| Old sources: | TRMF 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.