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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 21 days ago 1070 main
conda 414.7 kB | noarch/r-turboem-2021.1-r43hc72bb7e_3.conda  1 year and 21 days ago 1124 main
conda 414.6 kB | noarch/r-turboem-2021.1-r43hc72bb7e_2.conda  2 years and 1 month ago 1540 main
conda 414.5 kB | noarch/r-turboem-2021.1-r42hc72bb7e_2.conda  2 years and 1 month ago 1356 main
conda 429.7 kB | noarch/r-turboem-2021.1-r42hc72bb7e_1.tar.bz2  2 years and 10 months ago 1748 main
conda 429.4 kB | noarch/r-turboem-2021.1-r41hc72bb7e_1.tar.bz2  2 years and 10 months ago 1720 main
conda 427.9 kB | noarch/r-turboem-2021.1-r41hc72bb7e_0.tar.bz2  4 years and 20 days ago 2205 main
conda 427.6 kB | noarch/r-turboem-2021.1-r40hc72bb7e_0.tar.bz2  4 years and 20 days ago 2197 main

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