TRIM stepwise refinement
trim_refine(
count,
site,
year,
month,
weights,
covars,
model,
changepoints,
...,
premove = 0.2,
penter = 0.15
)a numerical vector of count data.
a vector (numerical or factor) of site identifiers for each count data point.
a numerical vector of annual time points for each count data point.
an optional numerical vector of monthly time points.
an optional numerical vector of weights.
an optional list of covariates.
a model type selector.
a numerical vector change points (only for Model 2)
threshold probability for removal of parameters.
threshold probability for re-introduction of parameters.
a list of class trim, that opcontains all output, statistiscs, etc.
Usually this information is retrieved by a set of postprocessing functions