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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.
Package details |
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Author | Chad Hammerquist [aut, cre], Scentsy Inc [cph] |
Maintainer | Chad Hammerquist <chammerquist@scentsy.com> |
License | GPL-3 |
Version | 0.2.1 |
Package repository | View on CRAN |
Installation |
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