# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "TRES" in publications use:' type: software license: GPL-3.0-only title: 'TRES: Tensor Regression with Envelope Structure' version: 1.1.5 doi: 10.18637/jss.v099.i12 identifiers: - type: doi value: 10.32614/CRAN.package.TRES abstract: Provides three estimators for tensor response regression (TRR) and tensor predictor regression (TPR) models with tensor envelope structure. The three types of estimation approaches are generic and can be applied to any envelope estimation problems. The full Grassmannian (FG) optimization is often associated with likelihood-based estimation but requires heavy computation and good initialization; the one-directional optimization approaches (1D and ECD algorithms) are faster, stable and does not require carefully chosen initial values; the SIMPLS-type is motivated by the partial least squares regression and is computationally the least expensive. For details of TRR, see Li L, Zhang X (2017) . For details of TPR, see Zhang X, Li L (2017) . For details of 1D algorithm, see Cook RD, Zhang X (2016) . For details of ECD algorithm, see Cook RD, Zhang X (2018) . For more details of the package, see Zeng J, Wang W, Zhang X (2021) . authors: - family-names: Wang given-names: Wenjing email: wenjing.wang@stat.fsu.edu - family-names: Zeng given-names: Jing email: jing.zeng@stat.fsu.edu - family-names: Zhang given-names: Xin email: henry@stat.fsu.edu preferred-citation: type: article title: 'TRES: An R Package for Tensor Regression and Envelope Algorithms' authors: - family-names: Zeng given-names: Jing email: jing.zeng@stat.fsu.edu - family-names: Wang given-names: Wenjing email: wenjing.wang@stat.fsu.edu - family-names: Zhang given-names: Xin email: henry@stat.fsu.edu journal: Journal of Statistical Software year: '2021' volume: '99' issue: '12' doi: 10.18637/jss.v099.i12 start: '1' end: '31' repository: https://cranhaven.r-universe.dev repository-code: https://github.com/leozeng15/TRES commit: 57820e315b8fcef1fd2e446f1b4491d87543bdcc url: https://github.com/leozeng15/TRES date-released: '2021-10-19' contact: - family-names: Zeng given-names: Jing email: jing.zeng@stat.fsu.edu