Helper function that collects model equation and data per tree
for further analysis.
model |
A model definition, typically the path to an .eqn model
file containing the model equations. Category names need to match column
names in data .
|
dataset |
scalar character vector. Name of the data set that will
be copied to the results tibble .
|
data |
A data.frame containing the data. Column
names need to match category names in model (i.e., different from
MPTinR behavior, order of categories is not important, matching is
done via name).
|
id |
scalar character vector. Name of the column that contains
the subject identifier. If not specified, it is assumed that each row
represents observations from one participant.
|
condition |
scalar character vector. Name of the column
specifying a between-subjects factor. If not specified, no between-subjects
comparisons are performed.
|
include_data |
If FALSE (the default) the response frequencies
are not part of the output, but only the number of observations per tree.
If TRUE , the full data is part of the output.
|
core |
character vector defining the core parameters of interest,
e.g., core = c("Dn", "Do") . All other parameters are treated as
auxiliary parameters.
|
autosave |
If TRUE (the default) the results are automatically
saved in the current working directory in a file with name derived from
both model and data.
|
A list. If autosave = TRUE
, the list is also saved in the
current working directory.