Releases: seabbs/SpeedyMarkov
Releases · seabbs/SpeedyMarkov
Initial release
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 a
RcppArmadillo
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.