####################################################################
#'
#' @title Downstream aliases
#' @description Downstream aliases for other graphical modelling
#' packages. Will be deprecated in due course.
#' @name downstream-aliases
#'
####################################################################
#'
#' @aliases
#'
#' removeRedundant
#' combnPrim
#' mcsmarked mcsmarkedMAT
#' nextCell ell ellK glist2adjMAT
## graphNEL2M M2graphNEL graphNEL2adjMAT
## tabAdd__ tabDiv__ tabDiv0__ tabMarg__ tabMult__ tabSubt__
## NOTE to self: is_subsetof_ get_superset_ get_subset_ are pure cpp
## functions; perhaps let them live as an api thing
## FIXME I c-koden er der defineret tabMarg__, tabDiv0__, tabMult__ og
## FIXME der står at dette er af hensyn til gRain. Skal ryddes op.
## ### Used by gRain ###
#' @rdname downstream-aliases
#' @aliases ar_marg ar_mult ar_slice ar_slice_mult ar_new ar_prod
#' ar_perm ar_prod_list isin tab is_subsetof_ get_superset_
#' get_subset_ subsetof
#' tabMult__ tabDiv0__ tabMarg__
#' @export
#' @param lst A list of arrays
ar_prod_list <- tabListMult
#' @export
ar_marg <- tabMarg
#' @export
ar_mult <- tabMult
#' @export
ar_slice <- tabSlice
#' @export
ar_slice_mult <- tabSliceMult
#' @export
ar_new <- tabNew
#' @export
ar_prod <- tabProd
#' @export
ar_perm <- tabPerm
#' @export
isin <- .isin ## potentialList.R
#' @export
tab <- tabNew
#' @export
is_subsetof_ <- is_subsetof_
#' @export
get_superset_ <- get_superset_
#' @export
get_subset_ <- get_subset_
## grain uses subsetof; don't remember details of this function
## (different from is.subsetof)
#' @export
subsetof <- function(x, y){
all(match(x, y, 0) > 0)
}
#' @export
tabMult__ <- tabMult__
#' @export
tabDiv0__ <- tabDiv0__
#' @export
tabMarg__ <- tabMarg__
## ### Used by gRim ###
#' @export
glist2adjMAT <- g_ugl2M_
#' @export
removeRedundant <- remove_redundant
#' @export
mcsmarked <- mcs_marked
#' @export
combnPrim <- combn_prim
#' @export
mcsmarkedMAT <- mcs_markedMAT
#' @export
nextCell <- next_cell
#' @export
ell <- function(Sigma, S, n){
shdet <- function(Sigma){
prod(eigen(Sigma)[[1]])
}
p <- dim(S)[1]
const <- -n * p/2 * log(2 * pi)
const - n/2 * log(shdet(Sigma)) - n/2 * sum(diag( solve(Sigma) %*% S ))
}
#' @export
ellK <- function (K, S, n){
value <- (n/2) * (log(det(K)) - sum(rowSums(K * S)))
value
}
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