binaryRL (version 0.9.0)

RSTD: Model: RSTD

Description

$$V_{new} = V_{old} + \eta_{+} \cdot (R - V_{old}), R > V_{old}$$ $$V_{new} = V_{old} + \eta_{-} \cdot (R - V_{old}), R < V_{old}$$

Usage

RSTD(params)

Value

[numeric] algorithm packages accept only one return

Arguments

params

[vector] algorithm packages accept only one argument

Examples

if (FALSE) {
RSTD <- function(params){

  res <- binaryRL::run_m(
    data = data,
    id = id,
    eta = c(params[1], params[2]),
    tau = c(params[3]),
    n_params = n_params,
    n_trials = n_trials,
    mode = mode
  )

  assign(x = "binaryRL.res", value = res, envir = binaryRL.env)

  switch(mode, "fit" = -res$ll, "simulate" = res, "replay" = res)
}
}