From 9e1c911a7faa8238666ed6d8822e843728cf6e1d Mon Sep 17 00:00:00 2001 From: Manos Papadakis Date: Wed, 1 Nov 2023 18:54:30 +0200 Subject: [PATCH] Update DESCRIPTION --- DESCRIPTION | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 9b11de6..3d1b1ef 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -2,15 +2,15 @@ Package: Rnanoflann Type: Package Title: Extremely Fast Nearest Neighbor Search Version: 0.0.1 -Date: 2023-10-26 +Date: 2023-10-30 Authors@R: c( person("Manos Papadakis", email = "papadakm95@gmail.com", role = c("aut", "cre", "cph")), person("Jose Luis Blanco", email = "joseluisblancoc@gmail.com" , role = c("aut","cph")), person("Michail Tsagris", role = c("ctb")) ) Maintainer: Manos Papadakis -Copyright: nanoflann library is copyright Jose Luis Blanco. See file COPYRIGHT for details. -Description: Finds the k nearest neighbours for every point in a given dataset using Jose Luis' 'nanoflann' library. There is support for exact searches, fixed radius searches with 'kd' trees and two distances, the 'Euclidean' and 'Manhattan'. For more information see . Also, the nanoflann library is exported and ready to be used via the linking to mechanism. +Copyright: 'nanoflann' library is copyright Jose Luis Blanco. See file COPYRIGHT for details. +Description: Finds the k nearest neighbours for every point in a given dataset using Jose Luis' 'nanoflann' library. There is support for exact searches, fixed radius searches with 'kd' trees and two distances, the 'Euclidean' and 'Manhattan'. For more information see . Also, the 'nanoflann' library is exported and ready to be used via the linking to mechanism. License: GPL (>= 3) Imports: Rcpp (>= 1.0.11) LinkingTo: Rcpp, RcppArmadillo