daarem: Damped Anderson Acceleration with Epsilon Monotonicity for Accelerating EM-Like Monotone Algorithms

Implements the DAAREM method for accelerating the convergence of slow, monotone sequences from smooth, fixed-point iterations such as the EM algorithm. For further details about the DAAREM method, see Henderson, N.C. and Varadhan, R. (2019) <doi:10.1080/10618600.2019.1594835>.

Version: 0.7
Imports: stats, utils
Published: 2022-03-23
Author: Nicholas Henderson [cre, aut], Ravi Varadhan [aut]
Maintainer: Nicholas Henderson <nchender at umich.edu>
License: GPL-2
URL: https://doi.org/10.1080/10618600.2019.1594835
NeedsCompilation: no
Materials: NEWS
In views: NumericalMathematics
CRAN checks: daarem results

Documentation:

Reference manual: daarem.pdf

Downloads:

Package source: daarem_0.7.tar.gz
Windows binaries: r-devel: daarem_0.7.zip, r-release: daarem_0.7.zip, r-oldrel: daarem_0.7.zip
macOS binaries: r-release (arm64): daarem_0.7.tgz, r-oldrel (arm64): daarem_0.7.tgz, r-release (x86_64): daarem_0.7.tgz
Old sources: daarem archive

Reverse dependencies:

Reverse imports: fastglmpca

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