Each sequence is predicted by expanding the distance matrix. The compact set of hyper-parameters is tuned through random search.
Version: | 1.3.0 |
Depends: | R (≥ 4.1) |
Imports: | purrr (≥ 0.3.4), abind (≥ 1.4-5), ggplot2 (≥ 3.3.5), readr (≥ 2.0.1), stringr (≥ 1.4.0), lubridate (≥ 1.7.10), narray (≥ 0.4.1.1), imputeTS (≥ 3.2), scales (≥ 1.1.1), tictoc (≥ 1.0.1), modeest (≥ 2.4.0), moments (≥ 0.14), greybox (≥ 1.0.1), dqrng (≥ 0.3.0), entropy (≥ 1.3.1), Rfast (≥ 2.0.6), philentropy (≥ 0.5.0), fastDummies (≥ 1.6.3), fANCOVA (≥ 0.6-1) |
Published: | 2022-08-13 |
Author: | Giancarlo Vercellino |
Maintainer: | Giancarlo Vercellino <giancarlo.vercellino at gmail.com> |
License: | GPL-3 |
URL: | https://rpubs.com/giancarlo_vercellino/tetragon |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | tetragon results |
Reference manual: | tetragon.pdf |
Package source: | tetragon_1.3.0.tar.gz |
Windows binaries: | r-devel: tetragon_1.3.0.zip, r-release: tetragon_1.3.0.zip, r-oldrel: tetragon_1.2.0.zip |
macOS binaries: | r-release (arm64): tetragon_1.3.0.tgz, r-oldrel (arm64): tetragon_1.3.0.tgz, r-release (x86_64): tetragon_1.2.0.tgz, r-oldrel (x86_64): tetragon_1.2.0.tgz |
Old sources: | tetragon archive |
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