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").

AuthorJennifer F. Bobb [aut], Ravi Varadhan [aut, cre], Hui Zhao [ctb]
Date of publication2014-08-29 19:04:02
MaintainerRavi Varadhan <ravi.varadhan@jhu.edu>
LicenseGPL-2
Version2014.8-1
http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html

View on CRAN

Files in this package

turboEM
turboEM/inst
turboEM/inst/doc
turboEM/inst/doc/turboEM.R
turboEM/inst/doc/turboEM.pdf
turboEM/inst/doc/turboEM.Rnw
turboEM/NAMESPACE
turboEM/NEWS
turboEM/data
turboEM/data/parties.RData
turboEM/data/psychfactors.RData
turboEM/data/implants.RData
turboEM/data/votes.RData
turboEM/data/rats.RData
turboEM/R
turboEM/R/turboem.R turboEM/R/turboSim.R turboEM/R/turbosimMethods.R turboEM/R/turboClassMethods.R
turboEM/vignettes
turboEM/vignettes/turboEM.Rnw
turboEM/MD5
turboEM/DESCRIPTION
turboEM/man
turboEM/man/turbo.Rd turboEM/man/turboem.Rd turboEM/man/psychfactors.Rd turboEM/man/rats.Rd turboEM/man/turbosimMethods.Rd turboEM/man/internal.Rd turboEM/man/turboSim.Rd turboEM/man/implants.Rd turboEM/man/parties.Rd turboEM/man/votes.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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