Suggests: knitr, testthat, purrr, coda, grDevices, lattice, rmarkdown

Title: Transfer Learning for Tensor Graphical Models
person("Yaoming", "Zhen", role = c("aut")),
person("Junhui", "Wang", role = c("aut")))
Description: Tensor Gaussian graphical models (GGMs) have important applications in numerous areas, which can interpret conditional independence structures within tensor data. Yet, the available tensor data in one single study is often limited due to high acquisition costs.
Although relevant studies can provide additional data, it remains an open question how to pool such heterogeneous data. This package implements a transfer learning framework for tensor GGMs, which takes full advantage of informative auxiliary domains even when non-informative auxiliary domains are present, benefiting from the carefully designed data-adaptive weights.
Ren, M., Zhen Y., and Wang J. (2022). "Transfer learning for tensor graphical models" <arXiv:2211.09391>.
Imports: MASS, Matrix, rTensor, Tlasso, glasso, doParallel,expm

person("Ghazaleh", "Haratinezhad Torbati", email = "ghazale.hnt@gmail.com", role = c("aut","cre")),
person("Glenn", "Lawyer", email = "lawyer@mpi-inf.mpg.de", role = c("aut")) )
Maintainer: Ghazaleh Haratinezhad Torbati <ghazale.hnt@gmail.com>
Description: Estimates the transfer entropy from one time series to another, where each time series consists of continuous random variables. The transfer entropy is an extension of mutual information which takes into account the direction of information flow, under the assumption that the underlying processes can be described by a Markov model. Two estimation methods are provided. The first calculates transfer entropy as the difference of mutual information. Mutual information is estimated using the Kraskov method, which builds on a nearest-neighbor framework (see package references). The second estimation method estimate transfer entropy via the a generalized correlation sum.
Author: Ghazaleh Haratinezhad Torbati [aut, cre],

person("Ghazaleh", "Haratinezhad Torbati", email = "ghazaleh@mpi-inf.mpg.de", role = c("aut","cre")),
Maintainer: Ghazaleh Haratinezhad Torbati <ghazaleh@mpi-inf.mpg.de>