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SMMA  

Soft Maximin Estimation for Large Scale Array-Tensor Models
View on CRAN: Click here


Download and install SMMA package within the R console
Install from CRAN:
install.packages("SMMA")

Install from Github:
library("remotes")
install_github("cran/SMMA")

Install by package version:
library("remotes")
install_version("SMMA", "1.0.3")



Attach the package and use:
library("SMMA")
Maintained by
Adam Lund
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-03-30
Latest Update: 2020-09-17
Description:
Efficient design matrix free procedure for solving a soft maximin problem forlarge scale array-tensor structured models, see Lund, Mogensen and Hansen (2019) <doi:10.48550/arXiv.1805.02407>. Currently Lasso and SCAD penalized estimation is implemented.
How to cite:
Adam Lund (2017). SMMA: Soft Maximin Estimation for Large Scale Array-Tensor Models. R package version 1.0.3, https://cran.r-project.org/web/packages/SMMA. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2017-03-30 13:28), 1.0.2 (2018-01-18 17:02)
Other packages that cited SMMA R package
View SMMA citation profile
Other R packages that SMMA depends, imports, suggests or enhances
Complete documentation for SMMA
Functions, R codes and Examples using the SMMA R package
Some associated functions: RH . SMMA . predict.SMMA . print.SMMA . 
Some associated R codes: RcppExports.R . SMMA.R . SMMA_RH.R . SMMA_internal.R . SMMA_predict.R . SMMA_print.R .  Full SMMA package functions and examples
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