simulatedata.car: Simulate Data For CAR Function
In Gtmille2/twoStageSeamless: What the Package Does (One Line, Title Case)

Function to simulate data with treatment assignments from Covariate Adaptive Randomization Scheme

1 2	simulatedata.car(mean.x, mean.y, sigma0, sigma, rho, tau1, tau2, beta0, beta1, treat, covValues)

`sigma0`	sigma0 in the bivariate normal distribution
`sigma`	sigma in bivariate normal distribution
`rho`	rho in bivariate normal distribution
`tau1`	Tau1 is the weight on the first covariate
`tau2`	Tau2 is the weight on the second covariate
`treat`	List containing the treatment assignments and the base matrix
`covValues`	covValues is the dummy variable matrix from the covariate values
`mean.s`	Mean of the short term response
`mean.t`	Mean long-term response
`data`	Is the data from the previous analysis if applicable. The default is NULL