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xlispstat を Homebrew でインストール

xlispstat のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。

インストール

追加のインストールコマンド

macOS

Homebrew確認済み · 100%
brew install xlispstat

local Homebrew formula metadata

概要

パッケージ概要

Statistical data science environment based on Lisp

コマンドとエイリアス

  • xlispstat

履歴

プロジェクトの歴史と使われ方

XLISP-STAT, also called Lisp-Stat, is Luke Tierney's Lisp-based statistical computing environment for data analysis, statistical instruction, research, and dynamic graphics. It is historically important because it joined an extensible programming language, statistical modeling, and interactive graphics before R became dominant.

プロジェクトの歴史

Tierney's Lisp-Stat information page describes the system as an extensible statistical computing environment with an emphasis on dynamic graphical methods. It is based on Lisp, extends arithmetic over lists and vectors, adds statistical and linear-algebra functions, and uses a prototype-based object system for graphics and statistical model representations.

Tierney's 2005 retrospective says Lisp-Stat began in the mid-1980s as a framework for experimenting with dynamic graphics in statistics. The initial motivation was to go beyond point-cloud rotation and experiment with linked brushing, interactive scatterplot matrices, and displays integrated with a language for data manipulation.

The system was documented in Tierney's 1990 Wiley book, LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics. By the mid-1990s, public articles described it as running across Microsoft Windows, Macintosh, and Unix/X11 systems with a relatively uniform interface.

採用の歴史

XLISP-STAT found an audience in 1990s statistical computing, especially where interactive graphics and teaching mattered. Linux Journal introduced it in 1995 as a powerful, interactive, object-oriented statistical environment used for scientific work, statistical computation, matrix manipulation, hypertext illustrations, and teaching tasks.

Its influence also spread through projects built on top of it. ViSta described itself as written in Lisp using XLispStat extensions and presented XLisp-Stat as open, extensible, freely available, and meant for high-level statistical programming and dynamic graphics.

Usage declined as R and other environments took over statistical computing. The Journal of Statistical Software published both Tierney's retrospective and Jan de Leeuw's account of abandoning XLISP-STAT, making the package a documented case study in how research software can be influential yet lose ground to a broader ecosystem.

使われ方

Users worked interactively in a Lisp environment, using vectorized arithmetic, statistical functions, linear algebra, regression model objects, generalized linear models, and plotting facilities. Dynamic plots supported operations such as rotation, brushing, linking, mouse interaction, menus, and dialogs.

For package users today, XLISP-STAT is mostly historical or archival. It remains useful for understanding statistical graphics history, old course material, and software such as Arc or ViSta that built on Lisp-Stat ideas.

パッケージ好きにとっての重要性

XLISP-STAT matters to package nerds because it is a fossil with fingerprints everywhere: an installable scientific environment that anticipated programmable statistics, object-oriented model objects, and linked interactive graphics.

It is also a reminder that scientific package history is not only a straight line toward Python and R. Lisp-Stat explored many of the same questions earlier: what should a statistical language look like, how should graphics and models be objects, and how much extensibility should users have?

タイムライン

  • Mid-1980s: Tierney began Lisp-Stat while experimenting with dynamic statistical graphics on Macintosh hardware.
  • 1990: Wiley published Tierney's LISP-STAT book documenting the object-oriented statistical environment.
  • 1995: Linux Journal introduced Lisp-Stat to Linux users as a cross-platform statistical computing environment.
  • 1998: Tierney's Lisp-Stat information page summarized the system and linked documentation, projects, bibliography, and future directions.
  • 2002: Journal of Statistical Software examples still used Lisp-Stat/ViSta for interactive statistical analysis extensions.
  • 2005: JSS published retrospective and migration-era papers discussing the past, future, and abandonment of XLISP-STAT.

Related projects

  • XLISP and XLISP-PLUS are the Lisp-family substrate. ViSta and Arc are major statistical systems associated with XLISP-STAT. R is the later statistical environment most often discussed as the ecosystem that displaced it for mainstream statistical computing.

セキュリティ状態

リスクレベル: グリーン

narrow executable package without higher-risk signals.

リスク分類器

リスク グリーン · 信頼度 低 · appliance

理由

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

インストール挙動

  • Homebrew bottle メタデータは記録されていません。

推奨レビュー

エージェントに無人実行させる前に、このツールが平文の認証情報を読むか、リモート状態を書き込むか、成果物を公開するか、プラグインを起動するかを確認してください。

実行可能ファイル

インストールされる実行可能ファイル

コマンド種類公開範囲メモ
xlispstat実行可能ファイルインデックス済み実行可能ファイルローカル実行可能ファイルインデックスから検出されました。

鮮度

バージョンと鮮度

これらの信号は、ページ生成時期、パッケージマネージャの活動、上流リリース比較を分けて示します。バージョン遅れは、証拠 URL と比較可能なバージョンがある場合だけ警告されます。

ページ生成日2026-08-03
マネージャ版3.52.23
マネージャ更新日
ローカルデータ不明
上流利用不可
検出された最新未検出
  • OK鮮度警告は生成されていません。

インストールメタデータ

パッケージメタデータ

パッケージキーbrew:xlispstat
バージョン3.52.23
パッケージマネージャHomebrew
ホームページhttps://homepage.stat.uiowa.edu/~luke/xls/xlsinfo/
Bottle未記録
サービス宣言なし

ソース経路

リポジトリデータから生成

このページは scripts/generate-pkg-sqlite.py が生成した非公開のパッケージ SQLite アーティファクトから av-web によって提供されます。

使用ソース

  • Geiger risk classifier
  • cross-ecosystem install command graph
  • curated package history
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