seabbs/SpeedyMarkov: Initial release

Main Author: Sam Abbott
Format: info software
Terbitan: , 2019
Online Access: https://zenodo.org/record/3556671
Daftar Isi:
  • Feature updates Added reference two state model. Added initial working implementation of the reference model. Added core package functionality around a tidy implementation of Markov modelling. Optimised core implementation using profiling. Added aRcppArmadillo based inner loop to optimise model solving. Added a RcppArmadillo Markov simulation function to do CE summarisation Added a benchmarking function to compare approaches Package updates Added package infrastructure Added framework for package Added profiling vignettes to explore the two state Markov example. Added a benchmarking function to run benchmarks. Added a benchmarking vignette to summarise benchmark results. Update readme with a quick start. Added basic tests for Rcpp code compare to R code. Added C and code coverage.