TRIM estimation function
trim_estimate(
count,
site,
year,
month,
weights,
covars,
model,
changepoints,
overdisp,
serialcor,
autodelete,
stepwise,
covin,
verbose = FALSE,
...
)a numerical vector of count data.
an integer/numerical/character/factor vector of site identifiers for each count data point
an integer/numerical vector time points for each count data point.
an optional integer/character/factor vector of months for each count data point.
an optional numerical vector of weights.
an optional data frame withcovariates
a model type selector (1, 2 or 3)
a numerical vector change points (only for Model 2)
a flag indicating of overdispersion has to be taken into account.
a flag indication of autocorrelation has to be taken into account.
a flag indicating auto-deletion of changepoints with too little observations.
a flag indicating stepwise refinement of changepoints is to be used.
a list of variance-covariance matrices; one per pseudo-site.
flag to enable addtional output during a single run.
a list of class trim, that contains all output, statistiscs, etc.
Usually this information is retrieved by a set of postprocessing functions