Nothing
## compute asymptotic and small sample penalty term value for the goric(a)
penalty_goric <- function(Amat, meq, LP, correction = FALSE,
sample.nobs = NULL, ...) {
num_cols <- ncol(Amat)
method <- attr(LP, "method")
compute_PT <- function(lPT_values) {
if (correction) {
N <- sample.nobs
return(sum(((N * (lPT_values + 1) / (N - lPT_values - 2))) * LP))
} else {
return(1 + sum(lPT_values * LP))
}
}
if (all(Amat == 0)) {
lPT_values <- ifelse(correction, num_cols, 0:num_cols)
return(compute_PT(lPT_values))
}
switch(method,
boot = {
lPT_values <- 0:num_cols
return(compute_PT(lPT_values))
},
pmvnorm = {
min_col <- num_cols - nrow(Amat)
max_col <- num_cols - meq
lPT_values <- min_col:max_col
return(compute_PT(lPT_values))
},
stop("Unknown method specified in LP attribute.")
)
# if (correction) {
# N <- sample.nobs
# # unconstrained case
# if (all(c(Amat) == 0)) {
# lPT <- ncol(Amat)
# PT <- ( (N * (lPT + 1) / (N - lPT - 2)) )
# } else {
# if (attr(LP, "method") == "boot") {
# lPT <- 0 : ncol(Amat)
# PT <- sum( ( (N * (lPT + 1) / (N - lPT - 2) ) ) * LP)
# } else if (attr(LP, "method") == "pmvnorm") {
# min.col <- ncol(Amat) - nrow(Amat) # p - q1 - q2
# max.col <- ncol(Amat) - meq # p - q2
# lPT <- min.col : max.col
# PT <- sum( ( (N * (lPT + 1) / (N - lPT - 2) ) ) * LP)
# }
# }
# } else {
# if (all(c(Amat) == 0)) {
# PT <- 1 + ncol(Amat)
# } else {
# if (attr(LP, "method") == "boot") {
# PT <- 1 + sum(0 : ncol(Amat) * LP)
# } else if (attr(LP, "method") == "pmvnorm") {
# min.col <- ncol(Amat) - nrow(Amat) # p - q1 - q2
# max.col <- ncol(Amat) - meq # p - q2
# PT <- 1 + sum(min.col : max.col * LP)
# }
# }
# }
#return(PT)
}
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