Package: bbknnR
Title: Perform Batch Balanced KNN in R
Version: 2.0.2
Date: 2025-09-09
Authors@R: person(given = "Yuchen", family = "Li", email = "ycli1995@outlook.com", role = c("aut", "cre"))
Description: A fast and intuitive batch effect removal tool for single-cell data. BBKNN is originally used in the 'scanpy' python package, and now can be used with 'Seurat' seamlessly.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0), methods, utils
LinkingTo: Rcpp (>= 1.0.8), RcppEigen
Imports: future, future.apply, glmnet, Rcpp, RcppAnnoy, RcppEigen,
        rlang, rnndescent, Rtsne, Seurat, SeuratObject, tidytable, uwot
        (>= 0.2.1)
LazyData: true
RoxygenNote: 7.3.1
URL: https://github.com/ycli1995/bbknnR,
        https://github.com/Teichlab/bbknn,
        https://bbknn.readthedocs.io/en/latest/
BugReports: https://github.com/ycli1995/bbknnR/issues
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), patchwork
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-09-09 13:27:42 UTC; mydocker
Author: Yuchen Li [aut, cre]
Maintainer: Yuchen Li <ycli1995@outlook.com>
Repository: CRAN
Date/Publication: 2025-09-09 22:00:16 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-12-19 05:27:55 UTC; windows
Archs: x64
