evaluateLogLik <- function(v, theta_x, theta_y, alpha_x, alpha_y,
J, Sx, Sy, Nx, Ny, KDA_X, KDA_Y) {
nx <- v
ny <- 1 - v
I_X <- alpha_x * nx * (J - 1) / (1 - alpha_x * nx - alpha_y * ny)
I_Y <- alpha_y * ny * (J - 1) / (1 - alpha_x * nx - alpha_y * ny)
a <- lgamma(J + 1)
b <- rep(0, length(I_X))
for (cnt in seq_along(I_X)) {
b[cnt] <- lgamma(I_X[cnt] + I_Y[cnt] + J) - lgamma(I_X[cnt] + I_Y[cnt])
}
c <- a - b
l <- ((theta_x / 2) - 1) * log(nx) + ((theta_y / 2) - 1) * log(ny)
s <- calc_sum_kda(Sx, Nx, I_X, (theta_x / 2), KDA_X)
z <- calc_sum_kda(Sy, Ny, I_Y, (theta_y / 2), KDA_Y)
result <- c(c + l + s + z)
output <- rep(-Inf, length(v))
for (i in seq_along(v)) output[i] <- result[i]
return(output)
}
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