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r / packages / r-armspp

An efficient 'Rcpp' implementation of the Adaptive Rejection Metropolis Sampling (ARMS) algorithm proposed by Gilks, W. R., Best, N. G. and Tan, K. K. C. (1995) <doi:10.2307/2986138>. This allows for sampling from a univariate target probability distribution specified by its (potentially unnormalised) log density.

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Type Size Name Uploaded Downloads Labels
conda 154.0 kB | linux-64/r-armspp-0.0.2-r43h884c59f_0.tar.bz2  1 year and 1 month ago 24 main
conda 153.1 kB | linux-64/r-armspp-0.0.2-r42h884c59f_0.tar.bz2  2 years and 8 months ago 57 main
conda 160.9 kB | win-64/r-armspp-0.0.2-r36h796a38f_0.tar.bz2  4 years and 11 months ago 45 main
conda 139.2 kB | osx-64/r-armspp-0.0.2-r36h466af19_0.tar.bz2  4 years and 11 months ago 19 main
conda 156.9 kB | linux-64/r-armspp-0.0.2-r36h29659fb_0.tar.bz2  4 years and 11 months ago 135 main
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