SpeedyMarkov 0.1.0

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.