Package: TreeMineR 1.0.4.9000

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.

Authors:Joshua P. Entrop [aut, cre, cph], Viktor Wintzell [aut]

TreeMineR_1.0.4.9000.tar.gz
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TreeMineR_1.0.4.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
TreeMineR/json (API)

# Install 'TreeMineR' in R:

install.packages('TreeMineR', repos = c('https://entjos.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/entjos/treeminer/issues

Pkgdown/docs site:https://entjos.github.io

Datasets:

atc_codes - Hierarchical tree of the ATC system for classifying drugs
diagnoses - Test dataset of ICD diagnoses
icd_10_se - Swedish version of the ICD-10 diagnoses code tree
icd_10_se_dict - Dictionary for the Swedish version of the ICD-10 diagnoses code tree

On CRAN:

tree-based-scan-statistics

4.30 score 2 stars 4 scripts 236 downloads 3 exports 9 dependencies

Last updated from:b4970be66b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	179
source / vignettes	OK	191
linux-release-x86_64	OK	171
macos-release-arm64	OK	82
macos-oldrel-arm64	OK	88
windows-devel	OK	100
windows-release	OK	113
windows-oldrel	OK	100
wasm-release	OK	112

Exports:create_tree drop_cuts TreeMineR

Dependencies:cli codetools data.table digest future future.apply globals listenv parallelly

Tree Based Scan Statistics

Rendered fromTree-based-scan-statistics.Rmdusingknitr::rmarkdown

Last update: 2025-04-05
Started: 2025-04-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Hierarchical tree of the ATC system for classifying drugs	atc_codes
Creating a tree file for further use in 'TreeMineR()'.	create_tree
Test dataset of ICD diagnoses	diagnoses
Remove cuts from your tree. This is, e.g., useful if you would like to remove certain chapters from the ICD-10 tree used for the analysis as some chapters might be a prior deemed irrelevant for the exposure of interest, e.g., chapter 20 (external causes of death) might not be of interest when comparing two drug exposures.	drop_cuts
Swedish version of the ICD-10 diagnoses code tree	icd_10_se
Dictionary for the Swedish version of the ICD-10 diagnoses code tree	icd_10_se_dict
Unconditional Bernoulli Tree-Based Scan Statistics for R	TreeMineR