Handle Missing Tensor Data with C++ Integration

To handle higher-order tensor data. See Kolda and Bader (2009) 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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("tensorMiss")

1.1.1 by Zetai Cen, 2 years ago


Browse source code at https://github.com/cran/tensorMiss


Authors: Zetai Cen [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, RcppEigen, rTensor, stats

Suggests knitr, rmarkdown

Linking to Rcpp, RcppEigen


Imported by KOFM, MEFM.


See at CRAN