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To handle higher-order tensor data. See Kolda and Bader (2009) <doi:10.1137/07070111X> for details on tensor. While existing packages on tensor data extend the base 'array' class to some data classes, this package serves as an alternative resort to handle tensor only as 'array' class. Some functionalities related to missingness are also supported.
| Version: | 1.1.1 |
| Imports: | Rcpp (≥ 1.0.11), RcppEigen, rTensor, stats |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-04-09 |
| DOI: | 10.32614/CRAN.package.tensorMiss |
| Author: | Zetai Cen [aut, cre] |
| Maintainer: | Zetai Cen <z.cen at lse.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | tensorMiss results |
| Reference manual: | tensorMiss.pdf |
| Vignettes: |
A-short-introduction-to-tensorMiss |
| Package source: | tensorMiss_1.1.1.tar.gz |
| Windows binaries: | r-devel: tensorMiss_1.1.1.zip, r-release: tensorMiss_1.1.1.zip, r-oldrel: tensorMiss_1.1.1.zip |
| macOS binaries: | r-release (arm64): tensorMiss_1.1.1.tgz, r-oldrel (arm64): tensorMiss_1.1.1.tgz, r-release (x86_64): tensorMiss_1.1.1.tgz, r-oldrel (x86_64): tensorMiss_1.1.1.tgz |
| Old sources: | tensorMiss archive |
| Reverse imports: | MEFM |
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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.