mutate_model_output: This function processes the model output and creates new...

In wimmyteam/conisi: What the Package Does (One Line, Title Case)

Description

This function processes the model output and creates new variables that are needed for metrics of interest. The output from this function is another dataframe / tibble.

Usage

mutate_model_output(df, pop, start_date = NULL, report_lag = 0, pop_prop)

Arguments

df	Dataframe Output from COVIDmodel. The input data frame must have a row that represents each experiment and time point within the experiment. The columns must contain the parameter combinations that were used for each experiment and time point, as well as basic model output showing the numbers in each compartment at a given time.
pop	Integer The size of the modeled population
start_date	Date This is the start date for the local epidemic and it is used for adding a date column to the output.
report_lag	Integer This is the number of days we assume pass between the infection and when it is first reported.
pop_prop	Vector This vector contains population proportions for sub-populations

wimmyteam/conisi documentation built on Oct. 30, 2021, 4:11 p.m.