Title: Alternating Minimization Induced Active Set Algorithms
Author: Canhong Wen, Zelin Hong, Xueqin Wang, Aijun Zhang
Description: An implementation of alternating minimization induced active set (AMIAS) method for solving the L0 regularized learning problems. It includes a piecewise smooth estimator by minimizing the least squares function with constraints on the number of kink points in the discrete derivatives. It also includes generalized structural sparsity via composite L0 penalty. Both time series and image segmentation can be handled by this package.
Packaged: 2017-10-27 10:24:52 UTC; Administrator

Packaged: 2017-11-19 04:21:58 UTC; Administrator

Packaged: 2018-04-19 09:31:45 UTC; Administrator

Author: Canhong Wen, Xueqin Wang, Shijie Quan, Zelin Hong, Aijun Zhang
Description: An implementation of alternating minimization induced active set (AMIAS) method for solving the generalized L0 problem. The AMIAS method is based on the necessary optimality conditions derived from an augmented Lagrangian framework. The proposed method takes full advantage of the primal and dual variables with complementary supports, and decouples the high-dimensional problem into two sub-systems on the active and inactive sets, respectively. A sequential AMIAS algorithm with warm start initialization is developed for efficient determination of the cardinality parameter, along with the output of solution paths.
Packaged: 2019-03-14 13:54:02 UTC; Canhong Wen

Package: AMModels
Type: Package
Title: Adaptive Management Model Manager
Version: 0.1.1
Date: 2017-02-01
Author: Jon Katz <jonkatz4@gmail.com>, Therese Donovan <tdonovan@uvm.edu>
Maintainer: Jon Katz <jonkatz4@gmail.com>
Description: Helps enable adaptive management by codifying knowledge in the
form of models generated from numerous analyses and data sets. Facilitates
this process by storing all models and data sets in a single object that can
be updated and saved, thus tracking changes in knowledge through time. A shiny
application called AM Model Manager (modelMgr()) enables the use of these
functions via a GUI.
License: GPL-3
Copyright: This software is in the public domain because it contains
materials that originally came from the United States
Geological Survey, an agency of the United States Department of
Interior. For more information, see the official USGS copyright
policy at http://www.usgs.gov/visual-id/
credit_usgs.html#copyright. This software is in the public
domain because it contains materials that originally came from
the U.S. Geological Survey, an agency of the United States
Department of Interior. Although this software program has been
used by the U.S. Geological Survey (USGS), no warranty,
expressed or implied, is made by the USGS or the U.S.
Government as to the accuracy and functioning of the program
and related program material nor shall the fact of distribution
constitute any such warranty, and no responsibility is assumed
by the USGS in connection therewith. This software is provided
"AS IS."
Encoding: UTF-8
Imports: methods
Suggests: shiny, shinyBS, knitr, unmarked, AICcmodavg
RoxygenNote: 5.0.1
Collate: 'AMModels-package.R' 'amData.R' 'amModel.R' 'amModelLib.R'
'classes.R' 'getters.R' 'grepAMModelLib.R' 'insertAMModelLib.R'
'ls.R' 'metaSummary.R' 'methods-amModel.R'
'methods-amModelLib.R' 'modelMgr.R' 'rmModelsData.R'
'simCovariate.R'
NeedsCompilation: no
Packaged: 2017-02-01 23:48:37 UTC; jon
Repository: CRAN
Date/Publication: 2017-02-02 02:00:50