example_two_state_markov: Reference Two State Markov Model

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

Description

This is a two state Markov model - modelling smoking cessation - it was adapted from reference_two_state_markov to use the SpeedyMarkov framework. It essentially contains a list of functions that are then used to sample a markov model that can then be simulated and analysed. Unlike reference_two_state_markov this is not a standalone analysis pipeline but instead represents a model definition.

Usage

example_two_state_markov()

Value

A named list of functions that all require a samples argument and pass additional arguments (using ...). The list contains:

• transitions_list: a list of transition functions, with the first taking the number of samples as an argument and the following being dependent on the a previous transition.

• qalys: a function that samples the qaly cost for each intervention.

• intervention_costs: a function that returns the costs for each intervention.

• state_costs: a function that returns the state costs for each intervention.

• cohorts: a function that returns the initial state for each intervention.

Please see the code for more details on each required list item.

Author(s)

Sam Abbott

Examples

## Example model run
example_two_state_markov()

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