generate_p_norm_count_bin_data_count: Generate data from p-variate normal covariates (count...
In kaz-yos/empeq3: Conduct three-group empirical equipoise study

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1 2	generate_p_norm_count_bin_data_count(n, p, rho, lambda, prev, alphas, sigma, beta0, betaA, betaX, betaXA)

`n`	Sample size
`p`	number of covariates. Must be 3 or more.
`rho`	correlation coefficient
`lambda`	mean parameter for X2 (count variable)
`prev`	prevalence vector for X3 through Xp (binary variables)
`alphas`	True coefficients for the first and second treatment linear predictors. This vector should contain the intercept. alphas = c(alpha01, alphaXm1, alpha02, alphaXm2)
`sigma`	scaling of all covariate effects. A higher value means stronger covariate effects, i.e., less clinical equipoise.
`beta0`	Outcome model intercept coefficient
`betaA`	Outcome model coefficient for I(A_i = 1) and I(A_i = 2)
`betaX`	Outcome model coefficient vector for covariates X_i
`betaXA`	Outcome model interaction coefficients for covariates. betaXA = c(betaXA1, betaXA2)