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r_test / packages / r-armspp 0.0.2

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.

Installers

  • linux-64 v0.0.2
  • win-64 v0.0.2
  • osx-64 v0.0.2

conda install

To install this package run one of the following:
conda install r_test::r-armspp

Description


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