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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  8 months and 14 days ago 840 main
conda 414.7 kB | noarch/r-turboem-2021.1-r43hc72bb7e_3.conda  8 months and 14 days ago 869 main
conda 414.6 kB | noarch/r-turboem-2021.1-r43hc72bb7e_2.conda  1 year and 9 months ago 1297 main
conda 414.5 kB | noarch/r-turboem-2021.1-r42hc72bb7e_2.conda  1 year and 9 months ago 1127 main
conda 429.7 kB | noarch/r-turboem-2021.1-r42hc72bb7e_1.tar.bz2  2 years and 6 months ago 1505 main
conda 429.4 kB | noarch/r-turboem-2021.1-r41hc72bb7e_1.tar.bz2  2 years and 6 months ago 1479 main
conda 427.9 kB | noarch/r-turboem-2021.1-r41hc72bb7e_0.tar.bz2  3 years and 8 months ago 1969 main
conda 427.6 kB | noarch/r-turboem-2021.1-r40hc72bb7e_0.tar.bz2  3 years and 8 months ago 1963 main

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