Package: SAMCpack
Type: Package
Title: Stochastic Approximation Monte Carlo (SAMC) Sampler and Methods
Version: 0.1.1
Authors@R: c(person("Yichen","Cheng",role="aut",email="ycheng11@gsu.edu"),
             person("Ick Hoon","Jin", role = "aut", email="IckHoon.Jin.32@nd.edu"),
             person("Faming","Liang", role = "aut", email = "fmliang@purdue.edu"),
             person("Kisung","You", role = c("aut", "cre"), email = "kyou@nd.edu"))
Description: Stochastic Approximation Monte Carlo (SAMC) is one of the celebrated Markov chain Monte Carlo (MCMC) algorithms. It is known to be capable of sampling from multimodal or doubly intractable distributions. We provide generic SAMC samplers for continuous distributions. User-specified densities in R and C++ are both supported. We also provide functions for specific problems that exploit SAMC computation. See Liang et al (2010) <doi:10.1002/9780470669723> for complete introduction to the method.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
Imports: Rcpp, RcppXPtrUtils, utils, Rdpack
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown, microbenchmark, pander, geoR, RandomFields
VignetteBuilder: knitr
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2018-10-26 01:46:52 UTC; kisung
Author: Yichen Cheng [aut],
  Ick Hoon Jin [aut],
  Faming Liang [aut],
  Kisung You [aut, cre]
Maintainer: Kisung You <kyou@nd.edu>
Repository: CRAN
Date/Publication: 2018-10-26 08:30:07 UTC
