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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: | 1.0.1 |
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: | 2024-04-02 |
DOI: | 10.32614/CRAN.package.TreeMineR |
Author: | Joshua P. Entrop |
Maintainer: | Joshua P. Entrop <joshuaentrop at posteo.de> |
License: | GPL (≥ 3) |
URL: | https://entjos.github.io/TreeMineR/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | TreeMineR results |
Reference manual: | TreeMineR.pdf |
Package source: | TreeMineR_1.0.1.tar.gz |
Windows binaries: | r-devel: TreeMineR_1.0.1.zip, r-release: TreeMineR_1.0.1.zip, r-oldrel: TreeMineR_1.0.1.zip |
macOS binaries: | r-release (arm64): TreeMineR_1.0.1.tgz, r-oldrel (arm64): TreeMineR_1.0.1.tgz, r-release (x86_64): TreeMineR_1.0.1.tgz, r-oldrel (x86_64): TreeMineR_1.0.1.tgz |
Old sources: | TreeMineR archive |
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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.
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