The package defines a mechanism for specifying connected trees that uses a tabular environment to generate node positions. The package uses PostScript code, loaded by Dvips, so output can only be generated by use of Dvips.

The package lingmacros.sty defines a few macros for linguists: \enumsentence for enumerating sentence examples, simple tabular-based non-connected tree macros, and gloss macros.

An R re-implementation of the treeinterpreter package on PyPI <https://pypi.org/project/treeinterpreter/>. Each prediction can be decomposed as prediction = bias + feature_1_contribution + ... + feature_n_contribution'. This decomposition is then used to calculate the Mean Decrease Impurity (MDI) and Mean Decrease Impurity using out-of-bag samples (MDI-oob) feature importance measures based on the work of Li et al. (2019) <arXiv:1906.10845>.

This package provides a Go grammar for tree-sitter.

This package provides a GraphQL grammar for the Tree-sitter library.

This package provides a Verilog grammar for the Tree-sitter library.

This package provides a Clojure grammar for the Tree-sitter library.

This package provides a TLA+ grammar for the Tree-sitter library.

This package provides a Haskell grammar for the Tree-sitter library.

This package provides a C# grammar for the Tree-sitter library.

cl-draw-cons-tree draws a cons tree in ASCII-art style.

Testing for trajectory presence and heterogeneity on multivariate data. Two statistical methods (Tenha & Song 2022) <doi:10.1371/journal.pcbi.1009829> are implemented. The tree dimension test quantifies the statistical evidence for trajectory presence. The subset specificity measure summarizes pattern heterogeneity using the minimum subtree cover. There is no user tunable parameters for either method. Examples are included to illustrate how to use the methods on single-cell data for studying gene and pathway expression dynamics and pathway expression specificity.

This package provides a classification (decision) tree is constructed from survival data with high-dimensional covariates. The method is a robust version of the logrank tree, where the variance is stabilized. The main function "uni.tree" returns a classification tree for a given survival dataset. The inner nodes (splitting criterion) are selected by minimizing the P-value of the two-sample the score tests. The decision of declaring terminal nodes (stopping criterion) is the P-value threshold given by an argument (specified by user). This tree construction algorithm is proposed by Emura et al. (2021, in review).

React JSON Viewer Component, Extracted from redux-devtools

Render boolean-valued predicate functions results as a tree.

This package provides a C++ grammar for tree-sitter.

This package provides a PHP grammar for tree-sitter.

This package provides a PlantUML grammar for the Tree-sitter library.

Determines the MIME type of a file by traversing a filetype tree.

This package provides Markdown (CommonMark Spec v0.30) grammars for the Tree-sitter library.

Org Tree Slide is a minor mode for using an Org document in presentations by progressively revealing individual subtrees of the document.

This gem generates a treemap showing the complexity of Ruby code on which it is run. It uses Saikuro under the covers to analyze Ruby code complexity.

Tree Inspector is an inspection tool for Emacs Lisp objects that uses a tree view. It works together with Emacs Inspector when it is loaded; when an object label is clicked on the tree, an inspector is opened on that object.

Treemacs is a file and project explorer similar to NeoTree or Vim's NerdTree, but largely inspired by the Project Explorer in Eclipse. It shows the file system outlines of your projects in a simple tree layout allowing quick navigation and exploration, while also possessing basic file management utilities.

Weight-balanced trees