ssp_dm | R Documentation |
This function creates a drift_dm object that corresponds to a simple version of the shrinking spotlight model by \insertCiteWhiteetal.2011;textualdRiftDM.
ssp_dm(
instr = NULL,
obs_data = NULL,
sigma = 1,
t_max = 3,
dt = 0.001,
dx = 0.001,
b_coding = NULL
)
instr |
optional string with additional "instructions", see
|
obs_data |
data.frame, an optional data.frame with the observed data. See obs_data. |
sigma , t_max , dt , dx |
numeric, providing the settings for the diffusion constant and discretization (see drift_dm) |
b_coding |
list, an optional list with the boundary encoding (see b_coding) |
The shrinking spotlight model is a model developed for the flanker task.
It has the following properties (see component_shelf):
a constant boundary (parameter b
)
a constant starting point in between the decision boundaries
an evidence accumulation process that is driven by an attentional spotlight that covers both the flankers and the target. The area that covers the flankers and target is modeled by normal distribution with mean 0:
At the beginning of the trial attention is wide-spread, and the width
at t=0 is the standard deviation sd_0
As the trial progresses in time, the attentional spotlight narrows,
reflected by a linear decline of the standard deviation with rate r
(to a minimum of 0.001).
the attention attributed to both the flankers and the target is scaled
by p
which controls the strength of evidence accumulation
A non-decision time that follows a truncated normal distribution with
mean non_dec
and standard deviation sd_non_dec
.
The model also contains the auxiliary parameter sign
, which is used to
control the influence of the flankers across conditions. It is not really
a parameter and should not be estimated!
Per default, the parameter r
is assumed to be fixed (i.e., is not estimated
freely). The model also contains the custom parameter interf_t
, quantifying
the interference time (sd_0 / r
).
An object of type drift_dm
(parent class) and ssp_dm
(child class),
created by the function drift_dm()
.
Whiteetal.2011dRiftDM
# the model with default settings
my_model <- ssp_dm()
# the model with a more coarse discretization
my_model <- ssp_dm(
t_max = 1.5,
dx = .0025,
dt = .0025
)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.