hal9001
tlverse.org
Spec sheet
- What it does
- hal9001 is an R package implementing scalable highly adaptive lasso regression, a nonparametric regression estimator.Read 12 Oct 2026 · tlverse.org
- Purpose
- hal9001 is an R package implementing the scalable highly adaptive lasso, a nonparametric regression estimator.Read 11 Oct 2026 · tlverse.org
- Platforms
- CRAN lists Windows and macOS binary packages and a source package; the package depends on R.Read 11 Oct 2026 · cran.r-project.org
- Deployment
- desktopRead 24 Sep 2026 · tlverse.org
- Free plan
- YesRead 24 Sep 2026 · tlverse.org
- Integrations
- CRAN lists glmnet among the package imports and SuperLearner among its suggested packages.Read 11 Oct 2026 · cran.r-project.org
- Support
- The maker directs users to file a GitHub issue to report bugs or request features.Read 12 Oct 2026 · tlverse.org
- License
- The package is distributed under the GPL-3 license.Read 12 Oct 2026 · tlverse.org
- Available builds
- CRAN lists Windows binaries, macOS binaries for arm64 and x86_64, and a source package.Read 12 Oct 2026 · cran.r-project.org
- Basis construction
- The package includes routines for constructing sparse matrices of basis functions from observed data.Read 12 Oct 2026 · cran.r-project.org
- Contributions
- The project welcomes contributions and directs prospective contributors to its contribution guidelines.Read 11 Oct 2026 · tlverse.org
- Data import formats
- R matrix, numeric vector, or formula interfaceRead 24 Sep 2026 · tlverse.org
- Dependencies
- The package depends on R version 3.1.0 or later and Rcpp, and imports Matrix, stats, utils, methods, assertthat, origami, glmnet, data.table, and stringr.Read 12 Oct 2026 · cran.r-project.org
- Development install
- The development version can be installed from the tlverse/hal9001 GitHub repository using remotes::install_github().Read 11 Oct 2026 · tlverse.org
- Development version
- The development version can be installed from the tlverse/hal9001 GitHub repository using remotes::install_github().Read 12 Oct 2026 · tlverse.org
- Documentation
- CRAN lists a reference manual and a vignette on fitting the highly adaptive lasso with hal9001.Read 12 Oct 2026 · cran.r-project.org
- Estimation
- HAL regression can estimate arbitrarily complex functional forms under global smoothness assumptions.Read 11 Oct 2026 · tlverse.org
- Installation
- The maker recommends installing the package from CRAN with install.packages("hal9001").Read 12 Oct 2026 · tlverse.org
- Intended use
- The maker describes HAL regression as a way to estimate complex functional forms under global smoothness assumptions, with applications to nuisance parameter estimation.Read 12 Oct 2026 · tlverse.org
- Lasso fitting
- Its lasso routines use glmnet by default and include a custom implementation tailored to predictors composed of indicator functions.Read 12 Oct 2026 · cran.r-project.org
- Maintainer
- Jeremy Coyle is listed as the package maintainer on CRAN.Read 11 Oct 2026 · cran.r-project.org
- Method
- It applies L1-regularized lasso regression to indicator functions for covariate supports and their interactions.Read 11 Oct 2026 · tlverse.org
- Model basis
- It applies L1-regularized lasso regression to indicator-function basis terms for covariates and their interactions.Read 12 Oct 2026 · tlverse.org
- R dependency
- The package depends on R version 3.1.0 or later and Rcpp.Read 11 Oct 2026 · cran.r-project.org
- Regression models
- YesRead 24 Sep 2026 · tlverse.org
- Scripting support
- YesRead 24 Sep 2026 · tlverse.org
- Sparse matrices
- The package includes routines for constructing sparse matrices of basis functions from observed data.Read 11 Oct 2026 · cran.r-project.org
Where Specifiction places it
- Statistical Analysis Software#74 of 1067.4