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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 1 month ago 1122 main
conda 414.7 kB | noarch/r-turboem-2021.1-r43hc72bb7e_3.conda  1 year and 1 month ago 1170 main
conda 414.6 kB | noarch/r-turboem-2021.1-r43hc72bb7e_2.conda  2 years and 2 months ago 1587 main
conda 414.5 kB | noarch/r-turboem-2021.1-r42hc72bb7e_2.conda  2 years and 2 months ago 1398 main
conda 429.7 kB | noarch/r-turboem-2021.1-r42hc72bb7e_1.tar.bz2  2 years and 11 months ago 1791 main
conda 429.4 kB | noarch/r-turboem-2021.1-r41hc72bb7e_1.tar.bz2  2 years and 11 months ago 1761 main
conda 427.9 kB | noarch/r-turboem-2021.1-r41hc72bb7e_0.tar.bz2  4 years and 1 month ago 2247 main
conda 427.6 kB | noarch/r-turboem-2021.1-r40hc72bb7e_0.tar.bz2  4 years and 1 month ago 2243 main

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