Functions to get or set the "solver" of an object. The "solver" controls the method for deriving the model's first passage time (i.e., its predicted PDFs).
Usage
solver(object, ...) <- value
# S3 method for class 'drift_dm'
solver(object, ..., eval_model = FALSE) <- value
solver(object, ...)
# S3 method for class 'drift_dm'
solver(object, ...)
# S3 method for class 'fits_ids_dm'
solver(object, ...)Arguments
- object
an object of type drift_dm or
fits_ids_dm(see load_fits_ids).- ...
additional arguments (i.e.,
eval_model).- value
a single character string, providing the new "solver" (i.e., approach to derive the first passage time; see
drift_dm()).- eval_model
logical, indicating if the model should be re-evaluated or not when updating the solver (see re_evaluate_model). Default is
False.
Details
solver() is a generic accessor function, and solver<-() is a
generic replacement function. The default methods get and set the "solver".
The "solver" indicates the approach with which the PDFs of a model are calculated. Supported options are "kfe" and "im_zero" (method based on the Kolmogorov-Forward-Equation or on integral equations, respectively). Note that "im_zero" is only supported for models that assume a fixed starting point from 0.
Note
There is only a replacement function for drift_dm objects. This is
because replacing the approach for deriving PDFs after the model has been
fitted (i.e., for a fits_ids_dm object) doesn't make sense.
Examples
# get some default model to demonstrate the solver() functions
my_model <- ratcliff_dm()
solver(my_model)
#> [1] "kfe"
# change to the integral approach
solver(my_model) <- "im_zero"
solver(my_model)
#> [1] "im_zero"
# accessor method also available for fits_ids_dm objects
# (see estimate_model_ids)
# get an exemplary fits_ids_dm object
fits <- get_example_fits_ids()
solver(fits)
#> [1] "kfe"