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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:

Please use the canonical form https://CRAN.R-project.org/package=TreeMineR to link to this page.

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.
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