Man pages for seabbs/SpeedyMarkov
Speed up Discrete Markov Model Cost Effectiveness Simulations
| analyse_ce | Analyse the Cost Effectiveness of Interventions |
| ArmaMarkovLoop | An inner Markov loop implemented using RcppArmadillo |
| ArmaSimulateMarkov | Simulate a Markov Model Sample using RcppArmadillo |
| benchmark_markov | Benchmarks Markov Model Simulation Approaches |
| calc_discounting | Calculate Discounting Over the Model Run Time. |
| example_two_state_markov | Reference Two State Markov Model |
| markov_ce_pipeline | Markov Sampling, Simulation, and Cost Effectiveness Analysis... |
| markov_loop | Inner Markov Loop in base R |
| markov_simulation_pipeline | Markov Sampling and Simulation Pipeline |
| matrix_arrange | Arrange Vectorised Matrix Samples |
| MatrixArrange | Arrange Vectorised Matrix Samples using Rcpp |
| matrix_arrange_inner | Arrange Vectorised Matrix Samples using R |
| reexports | Objects exported from other packages |
| reference_two_state_markov | Reference Two State Markov Model |
| sample_markov | Sample a Markov Model |
| sample_markov_base | Sample a Markov Model Sample using Base R |
| simulate_markov | Simulate a Markov Model Sample |
| simulate_markov_base | Simulate a Markov Model Sample using Base R |
| SpeedyMarkov-package | SpeedyMarkov: Speed up Discrete Markov Model Cost... |
| vector_arrange | Arrange Vectorised Vector Samples |
