View source: R/run_model_sensitivity.R
To run a model sensitiviy analysis using visual inspection and random forest.
1 | run_model_sensitivity(input_data,output_data,output_tag)
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # using tutorial data
load_tutorial_data()
data_full <- flu_city_experiment_table_tutorial
# select input parameters
input_col_names <- c('seed_infected_probability','transmission_probability','num_days_infected')
# select input data
input_data <- data_full[,input_col_names]
# select output data
output_data <- data_full$count.people.with..recovered..
# run function
run_model_sensitivity(input_data,
output_data,
output_tag ='total incidence')
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