nROUSE_predictions: Predictions from the nROUSE model
In rettopnivek/nROUSE: Functions for the nROUSE model

Description Usage Arguments Value Examples

Generates a plot of the predicted accuracy over different prime durations and types for the nROUSE model (output can be generated as well).

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nROUSE_predictions(primeDurations = c(17, 50, 150, 400, 2000),
  primeTypes = c("Target", "Foil", "Neither", "Both"), design = c(50, 450,
  500), opt = c(F, T), prm = NULL)

`primeDurations`	a vector of prime durations between 17 and 2000 ms.
`primeTypes`	a character vector with up to 4 types of prime: 'Target', 'Foil', 'Neither', or 'Both'.
`design`	a vector with the duration (in ms) of the target flash, the target mask, and the choice options.
`opt`	a logical vector indicating if the predicted accuracies latencies should be returned, and if a plot should be generated.
`prm`	an optional named vector for the parameters of the nROUSE model, where... Fe = the feedback scalar. N = The noise multiplier. L = The constant leak current. D = The synaptic depletion rate. R = The replenishment rate. I = The inhibition constant. Th = The noise multiplier. Ta = The temporal attention parameter. SV = The visual integration rate. SO = The orthographic integration rate. SS = The semantic integration rate.

A list consisting of a matrix of predicted accuracies by prime duration and type, and an array with the predicted perceptual identification latencies for the target and foil by prime duration and prime type.

# Default
nROUSE_predictions()

# Specific conditions

# Prime durations
pd = c(50,400)
# Prime types
pt = c('Target','Foil')
nROUSE_predictions( primeDurations = pd, primeTypes = pt )

# Different timing for target stimulus flash and subsequent mask
nROUSE_predictions( design = c( 84, 416, 500 ) )

# Suppress plotting and return predictions
pred = nROUSE_predictions( opt = c( T, F ) )

# Different parameter values (Must be named)
prm = c( I = .5, Ta = .8, N = .025 )
nROUSE_predictions( prm = prm )