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This function fits a growth rate model to time series observations and provides parameter estimates along with confidence intervals.
fit_growth_rate( observations, level = 0.95, family = c("poisson", "quasipoisson") )
A list containing:
'fit': The fitted growth rate model.
'estimate': A numeric vector with parameter estimates, including the growth rate and its confidence interval.
'level': The confidence level used for estimating parameter confidence intervals.
A numeric vector containing the time series observations.
The confidence level for parameter estimates, a numeric value between 0 and 1.
A character string specifying the family for modeling. Choose between "poisson," or "quasipoisson".
# Fit a growth rate model to a time series of counts # (e.g., population growth) data <- c(100, 120, 150, 180, 220, 270) fit_growth_rate( observations = data, level = 0.95, family = "poisson" )
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