SMMA
1.0.3Soft Maximin Estimation for Large Scale Array-Tensor Models
Overview
Efficient design matrix free procedure for solving a soft maximin problem for large scale array-tensor structured models, see Lund, Mogensen and Hansen (2019) arXiv:1805.02407. Currently Lasso and SCAD penalized estimation is implemented.
Install
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Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 50%
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Dependencies
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Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-12-25issues were not addressed in time
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0.32020-09-17 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.0.22018-01-18 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 1.0.12017-03-30
- RR 3.3.0 released · 2016-05-03
Package metadata
- Total releases
- 3
- License
- GPL (>= 2) OSI
- Download size
- not tracked yet
- Installed size
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- With dependencies
- not tracked yet
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