trimcommand: Create a trimcommand object

In rtrim: Trends and Indices for Monitoring Data

Description

Create a trimcommand object

Usage

trimcommand(...)

Arguments

...	Options in the form of key=value. See below for all options.

Description

A trimcommand object stores a single TRIM model, including the specification of the data file. Normally, such an object is defined by reading a legacy TRIM command file.

Options

• file [character] name of file containing training data.

• title [character] A string to be printed in the output file.

• ntimes [character] Number of time points.

• ncovars [character] Number of covariates.

• labels [character] Covariate label.

• missing [integer] Missing value indicator.

• weight [logical] Whether a weight column is present in the file.

• comment [character] A string to be printed in the output file.

• weighting [logical] Whether weights are to be used in the model.

• serialcor [logical] Whether serial correlation is assumed in the model.

• overdist [logical] Whether overdispersion is taken into account by the model.

• basetime [integer] Position of the base time point (must be positive).

• model [integer] What model to use (1, 2 or 3).

• covariates [integer] Number of covariates to include.

• changepoints [integer] Positions of the change points to include.

• stepwise [logical] Whether stepwise selection of the changepoints is to be used.

• autodelete [logical] Whether to autodelete change points when number of observations is to low in a time segment.

• outputfiles [character] Type of outputfile to generate ('F' and/or 'S')

• overallchangepoints [integer] Positions of the overall change points.

• impcovout [logical] Whether the covariance matrix of the imputed counts is saved.

• covin [logical] Whether the covariance matrix is read in.

See Also

Working with TRIM command files and TRIM data files.

Other modelspec: check_observations(), read_tcf(), read_tdf(), set_trim_verbose(), trim()

rtrim documentation built on April 21, 2020, 5:06 p.m.