hal9001

At a glance

• Editor score
  3.0 / 10
• Pricing
  Free plan
• Best for
  R users fitting adaptive lasso regression models
• Free plan
  Yes
• Paid from
  Free
• Deployment
  Desktop
• Facts checked
  24 Sep 2026

• Where it wins

  • Supports Gaussian, binomial, Poisson, Cox and multivariate Gaussian families
  • Cross-validation, prediction and formula interfaces support repeatable modeling
  • Handles covariate interactions with indicator- or spline-based design matrices

• Where it doesn't

  • Focused on regression rather than a broader statistical analysis suite
  • R package and desktop deployment limit use outside R workflows
  • Support is provided through tickets rather than broader service channels

Our verdict on hal9001

hal9001 is an open-source R package for analysts and researchers fitting highly adaptive lasso models. It builds indicator- or spline-based basis-function design matrices from covariates and their interactions, then applies L1-regularized lasso fitting. The package is aimed at users who want a scriptable nonparametric regression estimator within R, rather than a general-purpose statistical application with a broad menu of analysis types.

Its open-source model provides a free plan, with distribution through CRAN under the GPL-3 license. The core feature set covers Gaussian, binomial, Poisson, Cox and multivariate Gaussian families, giving users several outcome types within the same modeling approach. Cross-validation supports lambda selection, while prediction is available for fitted HAL models. Formula interfaces, observation weights and offsets add flexibility when specifying models and preparing inputs. This combination makes hal9001 a focused option for adaptive lasso work where model specification and regularization need to remain reproducible in code.

Platform fit is straightforward: deployment is desktop-oriented, with support for Windows and macOS, and data can be supplied as an R matrix, numeric vector or formula interface. Its narrow scope is also its main boundary. Teams seeking visualization, non-regression procedures, workflow orchestration or a standalone graphical interface will need another tool alongside it or instead of it. Choose hal9001 when adaptive lasso regression is the central requirement and an R-based workflow suits your practice; choose a broader statistical platform when you need a wider analysis environment.

Your product? Our editors can test hal9001 in depth and publish a review, labelled as paid · from $149/mo →

hal9001 pricing

hal9001 fact sheet

Alternatives to hal9001

• RA free, programmable environment for statistical analysis, modeling, visualization, and data import.9.4
• SStataA broad, scriptable desktop environment for professional and reproducible applied analysis.9.3
• IBM SPSS StatisticsA broad desktop statistics suite with testing, modeling, forecasting, reporting, and R/Python integration.9.2

See all hal9001 alternatives →

Featured on iTechGuides

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update