Nothing
'#
Authors
Torsten Pook, torsten.pook@wur.nl
Copyright (C) 2017 -- 2025 Torsten Pook
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 3
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
'#
#' Projection positive definite
#'
#' Function to project a matrix in the space of positive definite matrices
#' @param A Input matrix to project
#' @param verbose Set to FALSE to not display any prints
#' @param matrix.name This is just for internal prints
#' @param epsilon This factor is added to the diagonal to avoid numerical issues with semi-definit matrices
#' @return Positive definite matrix
#' @export
matrix.posdef <- function(A, verbose = TRUE, matrix.name = "Matrix", epsilon = 0.0000001){
test = eigen(A)
if(min(test$values) < 0){
test$values[test$values<0] <- 0
if(verbose){
warning(paste0(matrix.name, " is not positive definit."))
cat(paste0(matrix.name, " is not positive definit.\n"))
}
if(verbose) cat("Generate projection on the set of positive definit matrices:")
M <- diag(test$values)
S <- test$vectors
newA <- S %*% M %*% solve(S)
diag(newA) <- diag(newA) + epsilon # Avoid numerical issues with inversion
newA <- newA * matrix(1/sqrt(diag(newA)), nrow=nrow(newA), ncol=nrow(newA), byrow=TRUE) * matrix(1/sqrt(diag(newA)), nrow=nrow(newA), ncol=nrow(newA), byrow=FALSE)
if(verbose) cat("new suggested genetic correlation matrix:\n")
if(verbose) print(round(newA, digits=3))
return(newA)
} else{
return(A)
}
}
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