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").


News

Changes in turboEM version 2012.2-1

o first release: December 2011

o second release: February 2012 - allow for parallelization of turboem() using the foreach package - added turboSim function to conduct benchmark studies that outputs object of class "turbosim" - added option to allow pconstr function to be ignored, even if it is included in turboem() or turboSim() function calls (added use.pconstr as argument to control.method) - added check to produce error if "version" of control.method is not specified correctly for decme, pem - modified the package vignette to reflect the above changes

Changes in turboEM version 2014.8-1 o third release: August 27, 2014

Reference manual

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install.packages("turboEM")

2018.1 by Ravi Varadhan, a year ago


http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html


Browse source code at https://github.com/cran/turboEM


Authors: Jennifer F. Bobb [aut] , Ravi Varadhan [aut, cre] , Hui Zhao [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports iterators

Depends on doParallel, foreach, numDeriv, quantreg

Suggests setRNG


Imported by addreg, logbin.

Depended on by SpatialVx.


See at CRAN