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All functions

censored_weibull_fit()
Fit Weibull distribution to censored data
dailyrainfall
Daily rainfall data
dmev() pmev() qmev() rmev()
The Metastatistical Extreme Value Distribution
dtmev() ptmev() qtmev()
The non-stationary Metastatistical Extreme Value Distribution
event_separation()
Detect Rainfall Events with Specified Separation Time (Dry Time) and Minimum Rain Threshold
fmev()
Fitting the Metastatistical Extreme Value Distribution (MEVD)
fsmev()
Fitting the simplified Metastatistical Extreme Value Distribution (SMEV)
ftmev()
Fitting the temporal Metastatistical Extreme Value Distribution (TMEV)
ordinary_events()
Identifies ordinary rainfall events by calculating the maximum within rainfall events defined with event_separation
plot(<mevr>)
Plot graphs of MEVD, SMEV or TMEV fit
pp.weibull()
Weibull plotting position
predict(<mevr>)
TMEV prediction
print(<mevr>)
Print method for object of class mevr
return.levels.mev()
Return Levels for the MEVD/SMEV/TMEV extreme value distributions
weibull_tail_test()
Weibull tail test