Package: TrendTM 2.0.19

TrendTM: Trend of High-Dimensional Time Series Matrix Estimation

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).

Authors:Emilie Lebarbier [aut, cre], Nicolas Marie [aut], Amélie Rosier [aut, cre].

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Peer review:

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.09 score 50 dependencies 2 scripts 153 downloads

Last updated 10 months agofrom:853b0b43ef. Checks:OK: 7. Indexed: yes.

Exports:FM_ktOurSlopeTrendTM

Dependencies:ashbitopscapushecliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalessoftImputetibbleutf8vctrsviridisLitewithr