NEWS.md

In seabbs/SpeedyMarkov: Speed up Discrete Markov Model Cost Effectiveness Simulations

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.

seabbs/SpeedyMarkov documentation built on Dec. 26, 2019, 4:38 a.m.