trim_refine function

TRIM stepwise refinement

trim_refine(
  count,
  site,
  year,
  month,
  weights,
  covars,
  model,
  changepoints,
  ...,
  premove = 0.2,
  penter = 0.15
)

Arguments

• count: a numerical vector of count data.
• site: a vector (numerical or factor) of site identifiers for each count data point.
• year: a numerical vector of annual time points for each count data point.
• month: an optional numerical vector of monthly time points.
• weights: an optional numerical vector of weights.
• covars: an optional list of covariates.
• model: a model type selector.
• changepoints: a numerical vector change points (only for Model 2)
• premove: threshold probability for removal of parameters.
• penter: threshold probability for re-introduction of parameters.

Returns

a list of class trim, that opcontains all output, statistiscs, etc. Usually this information is retrieved by a set of postprocessing functions