sim_miss_visits: Simulated miss visits from an estimated set of miss bins

In aarmiller/delaySim: Package to run delayed diagnosis simulations

Simulated miss visits from an estimated set of miss bins

Description

Simulated miss visits from an estimated set of miss bins

Usage

sim_miss_visits(sim_data, sim_algorithm = "simple", sim_ctrl = NULL)

Arguments

sim_data	a dataset containing the time_map, miss bin visit counts, change point and number of patients
sim_algorithm	a string defining the algorithm to use. Option include "simple", "simple_correlated" and "general"
sim_ctrl	the sim_ctrl function that defines additional parameter values passed to the simulation. If no value is supplied (i.e., sim_ctrl = NULL) then default values for the sim_ctrl() function will be used

Examples

# Usage of the simple simulation approach
sim_miss_visits(sim_data=example_sim_data,
                sim_algorithm = "simple")

# Usage of the simple correlated simulation approach with default parameters (i.e., alpha=0.5)
sim_miss_visits(sim_data=example_sim_data,
                sim_algorithm = "simple_correlated")

# Usage of the simple correlated simulation approach with default parameters (i.e., alpha=0.5)
sim_miss_visits(sim_data=example_sim_data,
                sim_algorithm = "simple_correlated",
                sim_ctrl = sim_ctrl(alpha = 0))
             
# Usage of the general algorithm with default weight function
sim_miss_visits(sim_data=example_sim_data,
                sim_algorithm = "general")
        
# Usage with a weight function that places equal weight on all visits. 
# Note: this effectively implements the simple algorithm.                        
sim_miss_visits(sim_data=example_sim_data,
                sim_algorithm = "general",
                sim_ctrl = sim_ctrl(weight_function = function(a,b,c) 1))

aarmiller/delaySim documentation built on Jan. 2, 2023, 11:23 p.m.