Serial Recall Model

Description

This function implements the model currently described in the draft on page 19. It gives the predicted recall probability for each item in a set of items.

Usage

serial_recall(
  setsize,
  ISI = rep(0.5, setsize),
  item_in_ltm = rep(TRUE, setsize),
  prop = 0.2,
  prop_ltm = 0.5,
  tau = 0.15,
  gain = 25,
  rate = 0.1,
  r_max = 1,
  lambda = 1,
  growth = "linear"
)

Arguments

  • setsize: The number of items in the set.
  • ISI: A numeric vector representing the inter-stimulus interval for each item.
  • item_in_ltm: A logical vector indicating whether each item is in LTM.
  • prop: The proportion of resources allocated to each item.
  • prop_ltm: Proportion by which the resources used by LTM items are multiplied.
  • tau: The threshold for recall probability.
  • gain: The gain parameter for the recall probability function.
  • rate: The rate at which resources are recovered.
  • r_max: The maximum amount of resources.
  • lambda: The exponent converting resources to strength.
  • growth: The growth function for resource recovery. Either ‘linear’ or ‘asy’.

Details

The function uses a simulation approach. It loops over trials

Value

A numeric vector representing the recall probability for each item.

Examples

serial_recall(setsize = 3, ISI = rep(0.5, 3))
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