R/lexc_ad2.R

In curesurv: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators

lexc_ad2 <- function(z_tau, z_alpha, x, theta) {
  n_z_tau <- ncol(z_tau)
  n_z_alpha <- ncol(z_alpha)
  alpha0 <- theta[1]

  if (n_z_tau > 0 & n_z_alpha > 0) {
    alpha_k <- theta[2:(n_z_alpha + 1)]
    beta <- (theta[n_z_alpha + 2])
    tau0 <- theta[n_z_alpha + 2 + 1]
    tau_z <- theta[(n_z_alpha + 2 + 1 + 1):(n_z_alpha + 2 + n_z_tau + 1)]
    alpha <- (alpha0 + z_alpha %*% alpha_k)
    tau <- (tau0 + z_tau %*% tau_z)
    u <- x / (tau)

  } else if (n_z_tau > 0 & n_z_alpha == 0)
  {
    beta <- (theta[2])
    tau0 <- theta[2 + 1]
    tau_z <- theta[(2 + 1 + 1):(2 + n_z_tau + 1)]

    alpha <- (alpha0)

    tau <- (tau0 + z_tau %*% tau_z)
    u <- x / (tau)

  } else if (n_z_tau == 0 & n_z_alpha > 0) {

    alpha_k <- theta[2:(n_z_alpha + 1)]
    beta <- (theta[n_z_alpha + 2])
    tau0 <- theta[n_z_alpha + 2 + 1]

    alpha <- (alpha0 + z_alpha %*% alpha_k)

    tau <- (tau0)

    u <- x / (tau)

  } else
    if (n_z_tau == 0 & n_z_alpha == 0) {

      beta <- (theta[2])
      tau0 <- theta[3]
        alpha <- alpha0

      tau <- (tau0)

      u <- x / (tau)
      }
    haz <- ifelse((x <= (tau)),
                  (u ^ ((alpha) - 1) * (1 - u) ^ ((beta - 1))),
                  0)
  return(haz)
}