This function was deprecated in
dRiftDM version 0.3.0. Please use the more general
estimate_dm()
instead. NOTE: dRiftDM now supports multiple ways of estimating a model.
To ensure a more consistent function interface, individual fits are no longer
saved to disk when fitting multiple participants. Instead,
estimate_dm() directly returns an object of type fits_ids_dm,
which users can save manually if desired.
Old documentation:
Provides a wrapper around estimate_model to fit multiple
individuals. Each individual will be stored in a folder. This folder will
also contain a file drift_dm_fit_info.rds, containing the main arguments
of the function call. One call to this function is considered a
"fit procedure". Fit procedures can be loaded via load_fits_ids.
Usage
estimate_model_ids(
drift_dm_obj,
obs_data_ids,
lower,
upper,
fit_procedure_name,
fit_path,
fit_dir = "drift_dm_fits",
folder_name = fit_procedure_name,
seed = NULL,
force_refit = FALSE,
progress = 2,
start_vals = NULL,
...
)Arguments
- drift_dm_obj
an object inheriting from drift_dm that will be estimated for each individual in
obs_data_ids.- obs_data_ids
data.frame, see obs_data. An additional column
IDnecessary, to identify a single individual.- lower, upper
numeric vectors or lists, providing the parameter space, see estimate_model.
- fit_procedure_name
character, providing a name of the fitting procedure. This name will be stored in
drift_dm_fit_info.rdsto identify the fitting procedure, see also load_fits_ids.- fit_path
character, a path, pointing to the location where all fits shall be stored (i.e.,
fit_dirwill be created in this location). From the user perspective, the path will likely be identical to the current working directory.- fit_dir
character, a directory where (multiple) fitting procedures can be stored. If the directory does not exist yet, it will be created via
base::create.dir(fit_dir, recursive = TRUE)in the location provided byfit_path. Default is"drift_dm_fits".- folder_name
character, a folder name for storing all the individual model fits. This variable should just state the name, and should not be a path. Per default
folder_nameis identical tofit_procedure_name.- seed
numeric, a seed to make the fitting procedure reproducable (only relevant for differential evolution, see estimate_model). Default is
NULLwhich means no seed.- force_refit
logical, if
TRUEeach individual of a fitting routine will be fitted once more. Default isFALSE.- progress
numerical, indicating if and how progress shall be displayed. If 0, no progress is shown. If 1, the currently fitted individual is printed out. If 2, a progressbar is shown. Default is 2.
- start_vals
optional data.frame, providing values to be set before calling estimate_model. Can be used to control the starting values for each individual when calling Nelder-Mead. Note that this will only have an effect if DEoptim is not used (i.e., when setting
use_de_optim = FALSE; see estimate_model). The data.frame must provide a columnIDwhose entries match theIDcolumn inobs_data_ids, as well as a column for each parameter of the model matching withcoef(drift_dm_obj, select_unique = TRUE).- ...
additional arguments passed down to estimate_model.
Details
Examples and more information can also be found in
vignette("dRiftDM", "dRiftDM").
When developing the fitting routine we had three levels of files/folders in mind:
In a directory/folder named
fit_dirmultiple fitting routines can be stored (default is "drift_dm_fits")Each fitting routine has its own folder with a name as given by
folder_name(e.g., "ulrich_flanker", "ulrich_simon", ...)Within each folder, a file called
drift_dm_fit_info.rdscontains the main information about the function call. That is, the time when last modifying/calling a fitting routine, thelowerandupperparameter boundaries, thedrift_dm_objectthat was fitted to each individual, the original data setobs_data_ids, and the identifierfit_procedure_name. In the same folder each individual has its own<individual>.rdsfile containing the modifieddrift_dm_object.
