# Calculate score function to update mu (Rcpp)
.ff_score <- function( grid, S, E, L, Zg, R, gamma ) {
stopifnot( length(grid) >= 1L, length(S) >= 1L, length(E) >= 1L,
length(L) >= 1L, length(Zg) >= 1L, R > 0, gamma > 0,
length(S) == length(E), length(E) == length(L), length(L) == length(Zg) )
out <- .Call( "cpp_score", grid, S, E, L, Zg, R, gamma, PACKAGE="dpeak" )
return(out)
}
# Stack fragments (Rcpp)
.ff_stack <- function( S, E, minx, maxx ) {
stopifnot( length(S) >= 1L, length(E) >= 1L, length(S) == length(E) )
out <- .Call( "cpp_stack", S, E, minx, maxx, PACKAGE="dpeak" )
return(out)
}
# random sampling
.ff_samp <- function(X) {
stopifnot( is.matrix(X), nrow(X) >= 1L, ncol(X) >= 1L )
out <- .Call( "cpp_samp", X, PACKAGE="dpeak" )
return(out)
}
# normalize
.ff_normalize <- function(X) {
stopifnot( is.matrix(X), nrow(X) >= 1L, ncol(X) >= 1L )
out <- .Call( "cpp_normalize", X, PACKAGE="dpeak" )
return(out)
}
# match with table of fragment length
.ff_dlength <- function( L, Lname, Lfreq ) {
stopifnot( length(L) >= 1L, length(Lname) >= 1L, length(Lfreq) >= 1L,
length(Lname) == length(Lfreq) )
out <- .Call( "cpp_dlength", L, Lname, Lfreq, PACKAGE="dpeak" )
return(out)
}
# Is Z0 larger than each Z?
.ff_ismaxZ0 <- function( Z0, Z ) {
stopifnot( is.matrix(Z), nrow(Z) >= 1L, ncol(Z) >= 1L, length(Z0) >= 1L,
nrow(Z) == length(Z0) )
out <- .Call( "cpp_ismaxZ0", Z0, Z, PACKAGE="dpeak" )
return(out)
}
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