# load simulated tracks
data(SimulatedTracks)
# white noise fit
MWN.fit <- with(MWN.sim, estimate_shift(T=T, X=X, Y=Y))
# estimate_shift also works with POSIX class time. The following also works
MWN.fit <- with(MWN.sim, estimate_shift(T=strptime(MWN.sim$T,"%j", tz = "UTC"), X=X, Y=Y))
summary(MWN.fit)
plot(MWN.fit)
if(interactive()){
# OUF fit
MOUF.fit <- with(MOUF.sim.random,
estimate_shift(T=T, X=X, Y=Y,
model = "ouf",
method = "like"))
summary(MOUF.fit)
plot(MOUF.fit)
# Three range fit:
# it is helpful to have some initital values for these parameters
# because the automated quickfit() method is unreliable for three ranges
# in the example, we set a seed that seems to work
# set.seed(1976)
MOU.3range.fit <- with(MOU.3range,
estimate_shift(T=T, X=X, Y=Y,
model = "ou",
method = "ar",
n.clust = 3))
summary(MOU.3range.fit)
plot(MOU.3range.fit)
}
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