Handle Missing Tensor Data with C++ Integration
Overview
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.
Changes
- Added a
NEWS.mdfile to track changes to the package. - Fixed bugs for
miss_factor_est().
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 9
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing tensorMiss adds 3 packages (2 with compiled code, 3.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, rTensor 43 KB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.1.1Latest
- 0.1.12024-03-23
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-03-23
- Total releases
- 2 / 2 yrs
- License
- GPL-3 OSI
- Download size
- 32 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("tensorMiss")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.