README.md

tensr, Because tensor was Already Taken.

Build
Status AppVeyor Build
Status CRAN
Version License: GPL
v3

Description

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.

Installation

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")

References

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]



dcgerard/tensr documentation built on Aug. 16, 2018, 9:56 a.m.