Function: Soft-Max Function
func_tau(LR, try, L_value, R_value, var1 = NA, var2 = NA, tau = 1, lambda)The probability of choosing this option
Are you calculating the probability for the left option or the right option?
If the choice was random, the value is 1; if the choice was based on value, the value is 0.
The value of the left option
The value of the right option
[character] column name of extra variable 1. If your model uses more than just reward and expected value, and you need other information, such as whether the choice frame is Gain or Loss, then you can input the 'Frame' column as var1 into the model. e.g., `var1 = "Extra_Var1"`
[character] column name of extra variable 2. If one additional variable, var1, does not meet your needs, you can add another additional variable, var2, into your model. e.g., `var2 = "Extra_Var2"`
[vector] Parameters used in the Soft-Max Function `prob_func` representing the sensitivity of the subject to the value difference when making decisions. It determines the probability of selecting the left option versus the right option based on their values. A larger value of tau indicates greater sensitivity to the value difference between the options. In other words, even a small difference in value will make the subject more likely to choose the higher-value option. e.g., `tau = c(0.5)`
[vector] Extra parameters that may be used in functions. e.g., `lambda = c(0.4, 0.7, 20, 60)`