hpHawkes: high performance Hawkes process library facilitates fast Bayesian inference for the Hawkes process through GPU, multi-core CPU, and SIMD vectorization powered implementations of an adaptive Metropolis-Hastings algorithm.
MassiveMDS: massively parallel multidimensional scaling library facilitates fast Bayesian MDS through GPU, multi-core CPU, and SIMD vectorization powered implementations of the Hamiltonian Monte Carlo algorithm. The package may be built either as a standalone library or as an R package relying on Rcpp.
GPU capabilities for either build require installation of OpenCL computing framework.
RcppXsimd: C++ Header-Only Library Files provides modern, portable C++ wrappers for SIMD intrinsics and parallelized, optimized math implementations (SSE, AVX, NEON, AVX512). By placing this library in this package, we offer an efficient distribution system for Xsimd for R packages using CRAN.