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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 9 months ago 1539 main
conda 414.7 kB | noarch/r-turboem-2021.1-r43hc72bb7e_3.conda  1 year and 9 months ago 1573 main
conda 414.6 kB | noarch/r-turboem-2021.1-r43hc72bb7e_2.conda  2 years and 10 months ago 1998 main
conda 414.5 kB | noarch/r-turboem-2021.1-r42hc72bb7e_2.conda  2 years and 10 months ago 1809 main
conda 429.7 kB | noarch/r-turboem-2021.1-r42hc72bb7e_1.tar.bz2  3 years and 7 months ago 2175 main
conda 429.4 kB | noarch/r-turboem-2021.1-r41hc72bb7e_1.tar.bz2  3 years and 7 months ago 2156 main
conda 427.9 kB | noarch/r-turboem-2021.1-r41hc72bb7e_0.tar.bz2  4 years and 9 months ago 2658 main
conda 427.6 kB | noarch/r-turboem-2021.1-r40hc72bb7e_0.tar.bz2  4 years and 9 months ago 2643 main

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