trim_estimate function

TRIM estimation function

trim_estimate(
  count,
  site,
  year,
  month,
  weights,
  covars,
  model,
  changepoints,
  overdisp,
  serialcor,
  autodelete,
  stepwise,
  covin,
  verbose = FALSE,
  ...
)

Arguments

• count: a numerical vector of count data.
• site: an integer/numerical/character/factor vector of site identifiers for each count data point
• year: an integer/numerical vector time points for each count data point.
• month: an optional integer/character/factor vector of months for each count data point.
• weights: an optional numerical vector of weights.
• covars: an optional data frame withcovariates
• model: a model type selector (1, 2 or 3)
• changepoints: a numerical vector change points (only for Model 2)
• overdisp: a flag indicating of overdispersion has to be taken into account.
• serialcor: a flag indication of autocorrelation has to be taken into account.
• autodelete: a flag indicating auto-deletion of changepoints with too little observations.
• stepwise: a flag indicating stepwise refinement of changepoints is to be used.
• covin: a list of variance-covariance matrices; one per pseudo-site.
• verbose: flag to enable addtional output during a single run.

Returns

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