turboEM

R package 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”).


References in zbMATH (referenced in 2 articles )

Showing results 1 to 2 of 2.
Sorted by year (citations)

  1. Mark Donoghoe; Ian Marschner: logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model (2018) not zbMATH
  2. Marschner, Ian C.: Combinatorial EM algorithms (2014)