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SMME  

Soft Maximin Estimation for Large Scale Heterogeneous Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SMME", "1.1.1")



Attach the package and use:
library("SMME")
Maintained by
Adam Lund
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-19
Latest Update: 2023-01-08
Description:
Efficient procedure for solving the soft maximin problem for large scale heterogeneous data, see Lund, Mogensen and Hansen (2022) <doi:10.1111/sjos.12580>. Currently Lasso and SCAD penalized estimation is implemented. Note this package subsumes and replaces the SMMA package.
How to cite:
Adam Lund (2021). SMME: Soft Maximin Estimation for Large Scale Heterogeneous Data. R package version 1.1.1, https://cran.r-project.org/web/packages/SMME. Accessed 30 Jan. 2025.
Previous versions and publish date:
1.0.1 (2021-07-22 09:50), 1.0 (2021-07-19 10:20), 1.1 (2022-05-01 16:30)
Other packages that cited SMME R package
View SMME citation profile
Other R packages that SMME depends, imports, suggests or enhances
Complete documentation for SMME
Functions, R codes and Examples using the SMME R package
Some associated functions: RH . SMME . iwt . predict.SMME . print.SMME . wt . 
Some associated R codes: RcppExports.R . SMME.R . SMME_RH.R . SMME_internal.R . SMME_predict.R . SMME_print.R . idwt.R .  Full SMME package functions and examples
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