turboEM: A Suite of Convergence Acceleration Schemes for EM, MM and Other Fixed-Point Algorithms

Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM and MM algorithms. 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("turboEM").

Version: 2021.1
Depends: R (≥ 2.12.0), doParallel, foreach, numDeriv, quantreg
Imports: iterators
Suggests: setRNG
Published: 2021-08-05
DOI: 10.32614/CRAN.package.turboEM
Author: Jennifer F. Bobb [aut], Ravi Varadhan [aut, cre], Hui Zhao [ctb]
Maintainer: Ravi Varadhan <ravi.varadhan at jhu.edu>
License: GPL-2
URL: https://coah.jhu.edu/people/Faculty_personal_Pages/Varadhan.html
NeedsCompilation: no
Materials: NEWS
In views: NumericalMathematics
CRAN checks: turboEM results


Reference manual: turboEM.pdf
Vignettes: turboEM Tutorial


Package source: turboEM_2021.1.tar.gz
Windows binaries: r-devel: turboEM_2021.1.zip, r-release: turboEM_2021.1.zip, r-oldrel: turboEM_2021.1.zip
macOS binaries: r-release (arm64): turboEM_2021.1.tgz, r-oldrel (arm64): turboEM_2021.1.tgz, r-release (x86_64): turboEM_2021.1.tgz, r-oldrel (x86_64): turboEM_2021.1.tgz
Old sources: turboEM archive

Reverse dependencies:

Reverse depends: SpatialVx
Reverse imports: addreg, COMBO, logbin


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