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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  10 months and 25 days ago 981 main
conda 414.7 kB | noarch/r-turboem-2021.1-r43hc72bb7e_3.conda  10 months and 25 days ago 1031 main
conda 414.6 kB | noarch/r-turboem-2021.1-r43hc72bb7e_2.conda  1 year and 11 months ago 1446 main
conda 414.5 kB | noarch/r-turboem-2021.1-r42hc72bb7e_2.conda  1 year and 11 months ago 1268 main
conda 429.7 kB | noarch/r-turboem-2021.1-r42hc72bb7e_1.tar.bz2  2 years and 8 months ago 1657 main
conda 429.4 kB | noarch/r-turboem-2021.1-r41hc72bb7e_1.tar.bz2  2 years and 8 months ago 1629 main
conda 427.9 kB | noarch/r-turboem-2021.1-r41hc72bb7e_0.tar.bz2  3 years and 10 months ago 2111 main
conda 427.6 kB | noarch/r-turboem-2021.1-r40hc72bb7e_0.tar.bz2  3 years and 10 months ago 2102 main

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