README

Mohsen Soltanifar 2023-JAN-04

SimSST

The goal of SimSST is to simulate stop signal task data based on fixed ssd method and the tracking method.

Installation

You can install the development version of SimSST with:

library(gamlss.dist)
library(dplyr)
library(MASS)
library(SimSST)

Example: Simulation with fixed ssd method

This function takes in nine variables and produces a matrix of stop signal task data based on fixed ssd method

mySSTdata1 <- 
  simssfixed(
    pid = c("FNLN1","FNLN1"), 
    block = c(1,2),
    n = c(10,10), 
    m = c(4,4), 
    SSD.b = c(220,240),
    dist.go = c("ExG","ExG"),
    theta.go = as.matrix(rbind(c(440,90,90),c(440,90,90))),
    dist.stop = c("ExG","ExG"),
    theta.stop = as.matrix(rbind(c(120,80,70),c(120,80,70)))
  )
mySSTdata1 

Example: Simulation with tracking method

This function takes in nine variables and produces a matrix of stop signal task data based on tracking method

mySSTdata2 <- 
  simsstrack(
    pid = c("FNLN1","FNLN1"), 
    block = c(1,2),
    n = c(10,10), 
    m = c(4,4), 
    SSD.b = c(220,240),
    dist.go = c("ExG","ExG"),
    theta.go = as.matrix(rbind(c(440,90,90),c(440,90,90))),
    dist.stop = c("ExG","ExG"),
    theta.stop = as.matrix(rbind(c(120,80,70),c(120,80,70)))
  )
mySSTdata2 

Example: Simulating correlated SST data using general tracking method

This function takes in eleven variables and produces a matrix of stop signal task data based on the generalized tracking method.

mySSTdata3 <- simssgen(
     pid = c("FNLN1", "FNLN2", "FNLN2"),
     block = c(1,1,2),
     n = c(50,100,150),
     m = c(10,20,30),
     SSD.b = c(200,220,240),
     dist.go = c("ExG","ExG","ExG"),
     theta.go = as.matrix(rbind(c(400,60,30),c(440,90,90),c(440,90,90))),
     dist.stop = c("ExG","ExG","ExG"),
     theta.stop = as.matrix(rbind(c(100,70,60),c(120,80,70),c(120,80,70))),
     rho = c(0.35,0.45,0.45),
     d = c(50,65,75))
mySSTdata3