Tree-Based Scan Statistics

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


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Description

This package is an R implementation of tree-based scan statistics as described in Kulldorff et al. (2013) or Kulldorff et al. (2003). To get started, please take a look at the vignette or check the documentation of the main functions:

  • TreeMineR()
  • create_tree()
  • cut_the_tree()

The package also includes the following pre-defined hierarchical trees, which can be used out of the box. Please check their help files for more information. - icd_10_se - atc_codes

Installation

For installing the package from CRAN please use

install.packages("TreeMineR")

If you would like to use the latest development version from GitHub please use

# install.packages("remotes")
remotes::install_github("entjos/TreeMineR")

Bugs

If you find any bugs or have any suggestion please don’t hesitate to file an issue on GitHub.

Reference manual

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install.packages("TreeMineR")

1.1.1 by Joshua P. Entrop, 2 months ago


https://entjos.github.io/TreeMineR/, https://github.com/entjos/TreeMineR


Report a bug at https://github.com/entjos/TreeMineR/issues


Browse source code at https://github.com/cran/TreeMineR


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


Documentation:   PDF Manual  


GPL (>= 3) license


Imports data.table, future, future.apply, cli

Suggests testthat, tidyr, comorbidity, knitr, rmarkdown


See at CRAN