fit_observations: Fit Extracted Observations
In Kinekenneth48/rdailychange: Daily Change Method for Spatial Data

Description Usage Arguments Value Examples

This function allows the user to fit a Generalized Extreme Value (GEV) or a Generalized Pareto (GP) distribution to the extracted observations. The function does not fit Measurement locations with less than 30.

1	fit_observations(list, type = "GEV")

`list`	A list object of extracted observations.
`type`	The type of distribution (GEV or GP) to fit to the observations. The default is GEV.

A fit summary with measurement location metadata , MRIs and Annual MRI ratios.

sample_data <- rdailychange::sample_data
sample_data <- sample_data[ID == "USW00023062"]
t <- extract_observations(sample_data, day = 2)
rdailychange:::fit_observations(t)