diff --git a/CHANGELOG.md b/CHANGELOG.md index c29ef79..4c52b91 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,8 @@ # Changelog +## [1.0.1] - 2022-01-08 +* Explicitly use 'SystemRequirements: C++11' + ## [1.0.0] - 2021-11-19 * `N2R` has gone through no major revisions in over a year. In order to avoid any confusion, this should be released with a major version. diff --git a/DESCRIPTION b/DESCRIPTION index 5404d4b..0f84917 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: N2R Type: Package Title: Fast and Scalable Approximate k-Nearest Neighbor Search Methods using 'N2' Library -Version: 1.0.0 +Version: 1.0.1 Authors@R: c(person("Peter", "Kharchenko", email = "Peter_Kharchenko@hms.harvard.edu", role = c("aut")), person("Viktor", "Petukhov", email = "viktor.s.petukhov@ya.ru", role = c("aut")), person("Dirk", "Eddelbuettel", email="edd@debian.org", role=c("ctb")), person("Evan", "Biederstedt", email = "evan.biederstedt@gmail.com", role=c("cre", "aut"))) Description: Implements methods to perform fast approximate K-nearest neighbor search on input matrix. Algorithm based on the 'N2' implementation of an approximate nearest neighbor search using hierarchical Navigable Small World (NSW) graphs. The original algorithm is described in "Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs", Y. Malkov and D. Yashunin, , . License: Apache License 2.0 @@ -10,7 +10,7 @@ Depends: Matrix Imports: Rcpp (>= 1.0.4) Suggests: testthat LinkingTo: Rcpp, RcppSpdlog, RcppEigen -SystemRequirements: GNU make +SystemRequirements: C++11, GNU make RoxygenNote: 7.1.2 URL: https://github.com/kharchenkolab/N2R BugReports: https://github.com/kharchenkolab/N2R/issues diff --git a/README.md b/README.md index 9d926c1..4d64fcd 100644 --- a/README.md +++ b/README.md @@ -41,8 +41,8 @@ For installing from source on Mac OS, please see instructions in the wiki [here] If you find `N2R` useful for your publication, please cite: ``` -Peter Kharchenko, Viktor Petukhov and Evan Biederstedt (2020). N2R: +Peter Kharchenko, Viktor Petukhov and Evan Biederstedt (2022). N2R: Fast and Scalable Approximate k-Nearest Neighbor Search Methods using -N2 Library. R package version 1.0.0 +N2 Library. R package version 1.0.1 https://github.com/kharchenkolab/N2R ```