SQUAREM: Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms

Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("SQUAREM"). Refer to the J Stat Software article: <doi:10.18637/jss.v092.i07>.

Version:	2021.1
Depends:	R (≥ 3.0)
Suggests:	setRNG
Published:	2021-01-13
Author:	Ravi Varadhan
Maintainer:	Ravi Varadhan <ravi.varadhan at jhu.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://coah.jhu.edu/people/Faculty_personal_Pages/Varadhan.html
NeedsCompilation:	no
Citation:	SQUAREM citation info
Materials:	NEWS
In views:	NumericalMathematics
CRAN checks:	SQUAREM results

Documentation:

Reference manual:	SQUAREM.pdf
Vignettes:	SQUAREM Tutorial

Downloads:

Package source:	SQUAREM_2021.1.tar.gz
Windows binaries:	r-devel: SQUAREM_2021.1.zip, r-release: SQUAREM_2021.1.zip, r-oldrel: SQUAREM_2021.1.zip
macOS binaries:	r-release (arm64): SQUAREM_2021.1.tgz, r-oldrel (arm64): SQUAREM_2021.1.tgz, r-release (x86_64): SQUAREM_2021.1.tgz, r-oldrel (x86_64): SQUAREM_2021.1.tgz
Old sources:	SQUAREM archive

Reverse dependencies:

Reverse depends:	GNE
Reverse imports:	ashr, atena, codalm, INTACT, INTRIGUE, lava, reReg, spef, templateICAr, tranSurv
Reverse suggests:	BayesfMRI, FixedPoint

Linking:

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