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Title: Adaptive Rejection Metropolis Sampling (ARMS) via 'Rcpp'
Version: 0.0.2
Authors@R: person("Michael", "Bertolacci", email = "m.bertolacci@gmail.com", role = c("aut", "cre"))
Description: 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.