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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 17 days ago 1065 main
conda 414.7 kB | noarch/r-turboem-2021.1-r43hc72bb7e_3.conda  1 year and 17 days ago 1119 main
conda 414.6 kB | noarch/r-turboem-2021.1-r43hc72bb7e_2.conda  2 years and 1 month ago 1535 main
conda 414.5 kB | noarch/r-turboem-2021.1-r42hc72bb7e_2.conda  2 years and 1 month ago 1352 main
conda 429.7 kB | noarch/r-turboem-2021.1-r42hc72bb7e_1.tar.bz2  2 years and 10 months ago 1743 main
conda 429.4 kB | noarch/r-turboem-2021.1-r41hc72bb7e_1.tar.bz2  2 years and 10 months ago 1716 main
conda 427.9 kB | noarch/r-turboem-2021.1-r41hc72bb7e_0.tar.bz2  4 years and 16 days ago 2200 main
conda 427.6 kB | noarch/r-turboem-2021.1-r40hc72bb7e_0.tar.bz2  4 years and 16 days ago 2191 main

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