Fit a Stochastic Dynamical Array Model to Array Data
Overview
An implementation of the method proposed in Lund and Hansen (2018) for fitting 3-dimensional dynamical array models. The implementation is based on the glamlasso package, see Lund et al. (2017) doi:10.1080/10618600.2017.1279548, for efficient design matrix free lasso regularized estimation in a generalized linear array model. The implementation uses a block relaxation scheme to fit each individual component in the model using functions from the glamlasso package.
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- Help pages
- 3 (1 internal)
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- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
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- Help pages citing references
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People & History
Maintainer since 1.0 (2018), previously Christian T. Brownlees (0.1.2 to 0.1.3)
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- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-12-10depends on archived package 'MortalitySmooth'
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- unarchivedReturned to CRAN2018-02-23
- 1.0
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- RR 3.0.0 released · 2013-04-03
- archivedRemoved from CRAN2012-12-11the request of the maintainer
- RR 2.15.0 released · 2012-03-30
- RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
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- RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- RR 2.10.0 released · 2009-10-26
- RR 2.9.0 released · 2009-04-17
- RR 2.8.0 released · 2008-10-20
- RR 2.7.0 released · 2008-04-22
- 0.1.3
- 0.1.22007-12-20
- RR 2.6.0 released · 2007-10-03
Package metadata
- First published
- 2007-12-20
- Total releases
- 3 / 19 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 1.9 MB / 2 files
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