trimcommand {rtrim} | R Documentation |
Create a trimcommand object
Description
Create a trimcommand object
Usage
trimcommand(...)
Arguments
... |
Options in the form of |
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 thefile
. -
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()