| expgrowth-class | R Documentation |
"expgrowth"The class "expgrowth" contains the results of the exponential_growth() function. Use summary(expgrowth) for results summary.
Objects can be created by the function exponential_growth.
exp_gr:Object of class numeric Exponential growth rate
y_0:Object of class numeric Baseline
R0:Object of class numeric Basic reproduction number, derived from exponential growth model
doubling:Object of class numeric Doubling rate, derived from exponential growth model
model_data:Object of class lm OLS model
config:Object of class list Model fit configurations
signature(object = "expgrowth"): Prints a summary of expgrowth objects
signature(x = "expgrowth"): Prints an expgrowth object; use summary(expgrowth) for results
Thomas Wieland
Bonifazi G et al. (2021) A simplified estimate of the effective reproduction number Rt using its relation with the doubling time and application to Italian COVID-19 data. The European Physical Journal Plus 136, 386. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1140/epjp/s13360-021-01339-6")}
Chowell G, Viboud C, Hyman JM, Simonsen L (2015) The Western Africa ebola virus disease epidemic exhibits both global exponential and local polynomial growth rates. PLOS Currents Outbreaks, ecurrents.outbreaks.8b55f4bad99ac5c5db3663e916803261. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1371/currents.outbreaks.8b55f4bad99ac5c5db3663e916803261")}
Pell B, Kuang Y, Viboud C, Chowell G (2018) Using phenomenological models for forecasting the 2015 ebola challenge. Epidemics 22, 62–70. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1016/j.epidem.2016.11.002")}
Wieland T (2020) A phenomenological approach to assessing the effectiveness of COVID-19 related nonpharmaceutical interventions in Germany. Safety Science 131, 104924. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1016/j.ssci.2020.104924")}
showClass("expgrowth")
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