trim_estimate: TRIM estimation function

In rtrim: Trends and Indices for Monitoring Data

TRIM estimation function

Description

TRIM estimation function

Usage

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.

Value

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

rtrim documentation built on June 22, 2024, 10:39 a.m.