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2012 Oct 11
2
model selection with spg and AIC (or, convert list to fitted model object)
...3L), n3 = c(1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L)), .Names = c("tv", "n1", "n2", "n3"), row.names = c(NA, -20L), class = "data.frame") # Negative log likelihood functions NLL1 <- function(par, y){ p1 <- par[1] p2 <- par[2] mu1 <- par[3] mu2 <- par[4] n1 <- y$n1 n2 <- y$n2 n3 <- y$n3 t <- y$tv P1 <- (p1*((-1 + exp(sqrt((mu1 + mu2 + p1 + p2)^2 - 4*(mu2*p1 + mu1*(mu2 + p2)))*t))*((-mu2)*(mu2 - p1 + p2) + mu1...