1 Quick start: unfolding, refolding, and k-mode matrix product | 2 Missing value imputation for tensor factor models | 3 Asymptotic normality of estimated loading matrix rows | References
Package: tensorMiss 1.1.1
Zetai Cen
tensorMiss: Handle Missing Tensor Data with C++ Integration
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.
Authors:
tensorMiss_1.1.1.tar.gz
tensorMiss_1.1.1.zip(r-4.7)tensorMiss_1.1.1.zip(r-4.6)tensorMiss_1.1.1.zip(r-4.5)
tensorMiss_1.1.1.tgz(r-4.6-x86_64)tensorMiss_1.1.1.tgz(r-4.6-arm64)tensorMiss_1.1.1.tgz(r-4.5-x86_64)tensorMiss_1.1.1.tgz(r-4.5-arm64)
tensorMiss_1.1.1.tar.gz(r-4.7-arm64)tensorMiss_1.1.1.tar.gz(r-4.7-x86_64)tensorMiss_1.1.1.tar.gz(r-4.6-arm64)tensorMiss_1.1.1.tar.gz(r-4.6-x86_64)
tensorMiss_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tensorMiss/json (API)
| # Install 'tensorMiss' in R: |
| install.packages('tensorMiss', repos = c('https://zerokgkg1368.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a204a0e739. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 186 | ||
| linux-devel-x86_64 | OK | 191 | ||
| source / vignettes | OK | 294 | ||
| linux-release-arm64 | OK | 196 | ||
| linux-release-x86_64 | OK | 187 | ||
| macos-release-arm64 | OK | 109 | ||
| macos-release-x86_64 | OK | 399 | ||
| macos-oldrel-arm64 | OK | 125 | ||
| macos-oldrel-x86_64 | OK | 362 | ||
| windows-devel | OK | 209 | ||
| windows-release | OK | 250 | ||
| windows-oldrel | OK | 186 | ||
| wasm-release | OK | 177 |
Exports:flemiss_factor_estmiss_genqMSErefoldsigmaDtensor_genttmunfold
