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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.

Type Size Name Uploaded Downloads Labels
conda 139.2 kB | osx-64/r-armspp-0.0.2-r36h466af19_0.tar.bz2  5 years and 6 months ago 0 main
conda 160.9 kB | win-64/r-armspp-0.0.2-r36h796a38f_0.tar.bz2  5 years and 6 months ago 0 main
conda 156.9 kB | linux-64/r-armspp-0.0.2-r36h29659fb_0.tar.bz2  5 years and 6 months ago 0 main

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