@hackage / hanalyze-cli

hanalyze command-line interface for the hanalyze toolkit

Latest0.2.0.1

About

Metadata

  • Last updated , by frenzieddoll
  • License BSD-3-Clause
  • Categories Mathematics

  • Maintained by: frenzieddoll@gmail.com

  • Lottery factor: 0

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Installation

Tested Compilers

  1. 9.6.7

Readme

hanalyze-cli

The command-line front end of hanalyze. This package ships a single executable, hanalyze, and no library.

It was split out of the umbrella package in Phase 106 for two reasons:

  • so that working on the library does not trigger a CLI compile + link every time, and
  • so that the CLI depends only on the umbrella's public API — the fact that it never reaches into internal modules is guaranteed structurally (build-depends names only hanalyze).
cabal build hanalyze          # included in the default cabal.project
cabal run   hanalyze -- --help

Subcommands (15 in total)

Regression
Command What it does
regress Classical / Bayesian regression (LM / GLM / GLMM / GP / HBM). The default — omitting the subcommand name lands here
ridge Regularized regression (Ridge / Lasso / Elastic Net)
kernel Kernel regression / RFF approximation
spline B-spline / natural cubic regression
quantile Quantile regression (τ-quantile, MM-IRLS)
gam Generalized additive model (additive B-splines + Ridge)
rf Random forest regression (CART + bagging + feature subsets)
multireg Multi-output regression (wide CSV; linear / kernel-rbf)
Inspecting and plotting data
Command What it does
info Print per-column type and basic statistics
hist Histogram, optionally with a theoretical density overlaid
Design of experiments
Command What it does
doe Generate orthogonal arrays (L_n)
taguchi Taguchi method (S/N ratio + factor effects + inner/outer arrays)
Reshaping data
Command What it does
clean Apply per-column cleaning rules (StripUnits, ParseCurrency, ParseDecimalEU, …)
melt Wide → long reshaping
regrid Align sparse long-form data [id, z, y] onto a common grid

⚠ clean, melt and regrid are implemented but missing from the hanalyze --help listing. Run any of them with no arguments to see its usage (e.g. hanalyze melt).

Usage

# inspect column types and basic statistics
hanalyze info data.csv

# simple regression (subcommand omitted = regress)
hanalyze data.csv x y

# polynomial degrees with a 90% confidence interval
hanalyze data.tsv "x1 x2" y LM --degree -1 2 -2 3 --ci 0.90

# Poisson regression with a log link
hanalyze data.csv x y GLM -d poisson -l log

# random effects (LM + --group → LME, GLM + --group → GLMM)
hanalyze data.csv x y LM --group school

# write an HTML report
hanalyze data.csv x y --report report.html --waic

Main options of regress:

Option Meaning
-d, --dist DIST Distribution: gaussian / binomial / poisson (default gaussian)
-l, --link LINK Link: identity / log / logit / sqrt (default: canonical)
--degree SPEC Polynomial degree specification (default 1)
--ci [LEVEL] Confidence interval (default 0.95)
--pi [LEVEL] Prediction interval (Gaussian only; default 0.95)
--group COL Grouping column → LME / GLMM
--format FORMAT Output format: html / png / svg (default html)
--report [FILE] Generate an HTML analysis report (default report.html)
--waic Add WAIC and LOO-CV to the report (requires --report)

Options specific to the other subcommands are printed when you run them with no arguments (e.g. hanalyze ridge).

There is no CLI-specific page yet; hanalyze <sub> examples appear inside the per-feature docs.

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