Package: recall
Title: Calibrated Clustering with Artificial Variables to Avoid
        Over-Clustering in Single-Cell RNA-Sequencing
Version: 0.1.0
Authors@R: 
    person("Zaoqu", "Liu", , "liuzaoqu@163.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0452-742X"))
Description: recall (Calibrated Clustering with Artificial Variables)
        is a method for protecting against over-clustering by
        controlling for the impact of double-dipping. The approach can
        be applied to any clustering algorithm (implemented are the
        Louvain and Leiden algorithms with plans for K-means, and
        hierarchical clustering algorithms). The method provides
        state-of-the-art clustering performance and can rapidly analyze
        large-scale scRNA-seq studies and is compatible with the Seurat
        library (V4 and V5).
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: Matrix, Seurat (>= 4.0.0), SingleCellExperiment, scDesign3,
        SummarizedExperiment, MASS, fitdistrplus, lamW, knockoff,
        future, stats, cli, stringr, countsplit, utils
License: MIT + file LICENSE
Suggests: knitr, markdown
Remotes: scDesign3=github::SONGDONGYUAN1994/scDesign3
VignetteBuilder: knitr
URL: https://zaoqu-liu.github.io/recall/,
        https://github.com/Zaoqu-Liu/recall
BugReports: https://github.com/Zaoqu-Liu/recall/issues
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev
        libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev
Repository: https://zaoqu-liu.r-universe.dev
Date/Publication: 2026-01-23 18:03:47 UTC
RemoteUrl: https://github.com/Zaoqu-Liu/recall
RemoteRef: main
RemoteSha: ebad0cdf9754bb32a3a756d5af31e7df8fad97c3
NeedsCompilation: no
Packaged: 2026-07-04 16:25:39 UTC; root
Author: Zaoqu Liu [aut, cre] (ORCID: <https://orcid.org/0000-0002-0452-742X>)
Maintainer: Zaoqu Liu <liuzaoqu@163.com>