How to convert the following ms() in Splus to Optim in R? The "Calc" function
is also attached.
ms(~ Calc(a.init, B, v, off, d, P.a, lambda.a, P.y, lambda.y,
10^(-8), FALSE, 20, TRUE)$Bic,
start = list(lambda.a = 0.5, lambda.y = 240),
control = list(maxiter = 10, tol = 0.1))
Calc <- function(A.INIT., X., V., OFF., D.,
P1., LAMBDA1., P2., LAMBDA2.,
TOL., MONITOR., MAX.ITER., TRACE.){
lambda1 <- abs(LAMBDA1.)
lambda2 <- abs(LAMBDA2.)
P <- lambda1 * P1. + lambda2 * P2.
a <- Estimate(A.INIT., X., V., OFF., D., P,
TOL., MONITOR., MAX.ITER.)
Ita <- OFF. + X. %*% a
Mu <- c(exp(Ita))
Wt <- Mu * V.
Bt.W.B <- t(X.) %*% (Wt * X.)
BtWBplusP <- Bt.W.B + P
Rhs <- Bt.W.B %*% a + t(X.) %*% (V. * (D. - Mu))
a <- solve(BtWBplusP, Rhs)
Tr <- sum(diag(solve(BtWBplusP, Bt.W.B)))
y.init <- D.
y.init[D.==0] <- 10^(-4)
Dev <- 2*sum( V. * D.*log(y.init/Mu) )
Bic <- Dev + log(sum(V.)) * Tr
Hazard <- Ita - OFF.
if (TRACE. == TRUE) cat(lambda1, lambda2, Bic, "\n")
return(a, Hazard, Tr, Dev, Bic, BtWBplusP)
Thanks,
Shelton
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