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TreeMineR: Tree-Based Scan Statistics

Implementation of unconditional Bernoulli Scan Statistic developed by Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> for hierarchical tree structures. Tree-based Scan Statistics are an exploratory method to identify event clusters across the space of a hierarchical tree.

Version: 1.0.2
Depends: R (≥ 2.10)
Imports: data.table, future, future.apply, cli (≥ 3.6.1)
Suggests: testthat (≥ 3.0.0), tidyr (≥ 1.3.0), comorbidity (≥ 1.0.7)
Published: 2024-08-27
DOI: 10.32614/CRAN.package.TreeMineR
Author: Joshua P. Entrop ORCID iD [aut, cre, cph], Viktor Wintzell [aut]
Maintainer: Joshua P. Entrop <joshuaentrop at posteo.de>
BugReports: https://github.com/entjos/TreeMineR/issues
License: GPL (≥ 3)
URL: https://entjos.github.io/TreeMineR/, https://github.com/entjos/TreeMineR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: TreeMineR results

Documentation:

Reference manual: TreeMineR.pdf

Downloads:

Package source: TreeMineR_1.0.2.tar.gz
Windows binaries: r-devel: TreeMineR_1.0.2.zip, r-release: TreeMineR_1.0.2.zip, r-oldrel: TreeMineR_1.0.2.zip
macOS binaries: r-release (arm64): TreeMineR_1.0.2.tgz, r-oldrel (arm64): TreeMineR_1.0.2.tgz, r-release (x86_64): TreeMineR_1.0.2.tgz, r-oldrel (x86_64): TreeMineR_1.0.2.tgz
Old sources: TreeMineR archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.