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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").

copied from cf-post-staging / r-turboem
Type Size Name Uploaded Downloads Labels
conda 415.3 kB | noarch/r-turboem-2021.1-r44hc72bb7e_3.conda  1 year and 11 days ago 1055 main
conda 414.7 kB | noarch/r-turboem-2021.1-r43hc72bb7e_3.conda  1 year and 11 days ago 1108 main
conda 414.6 kB | noarch/r-turboem-2021.1-r43hc72bb7e_2.conda  2 years and 1 month ago 1519 main
conda 414.5 kB | noarch/r-turboem-2021.1-r42hc72bb7e_2.conda  2 years and 1 month ago 1339 main
conda 429.7 kB | noarch/r-turboem-2021.1-r42hc72bb7e_1.tar.bz2  2 years and 9 months ago 1730 main
conda 429.4 kB | noarch/r-turboem-2021.1-r41hc72bb7e_1.tar.bz2  2 years and 9 months ago 1702 main
conda 427.9 kB | noarch/r-turboem-2021.1-r41hc72bb7e_0.tar.bz2  4 years and 9 days ago 2187 main
conda 427.6 kB | noarch/r-turboem-2021.1-r40hc72bb7e_0.tar.bz2  4 years and 9 days ago 2179 main

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