This package contains a collection of functions for statistical analysis
with tensor(array)-variate data sets. In particular, tensr
has the
following features:
This package is also published on CRAN.
Vignettes are available on Equivariant Inference and Likelihood Inference.
To install from CRAN, run in R
:
install.packages("tensr")
To install the latest version from Github, run in R
:
install.packages("devtools")
devtools::install_github("dcgerard/tensr")
Gerard, D., & Hoff, P. (2016). A higher-order LQ decomposition for separable covariance models. Linear Algebra and its Applications, 505, 57-84. [Link to LAA] [Link to arXiv]
Gerard, D., & Hoff, P. (2015). Equivariant minimax dominators of the MLE in the array normal model. Journal of Multivariate Analysis, 137, 32-49. [Link to JMVA] [Link to arXiv]
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