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hal9001
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Download and install hal9001 package within the R console
Install from CRAN:
install.packages("hal9001")
Install from Github:
library("remotes")
install_github("cran/hal9001")
Install by package version:
library("remotes")
install_version("hal9001", "0.4.6")
Attach the package and use:
library("hal9001")
Maintained by
Jeremy Coyle
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.hal9001 . https://github.com/tlverse/hal9001/issues . https://github.com/tlverse/hal9001 . hal9001 citation info . hal9001 results . hal9001.pdf . Fitting the Highly Adaptive Lasso with hal9001 . hal9001_0.4.6.tar.gz . hal9001_0.4.6.zip . hal9001_0.4.6.zip . hal9001_0.4.6.zip . hal9001_0.4.6.tgz . hal9001_0.4.6.tgz . hal9001_0.4.6.tgz . hal9001_0.4.6.tgz . hal9001 archive . https://CRAN.R-project.org/package=hal9001 .
First Published: 2020-03-05
Latest Update: 2022-02-09
Description:
A scalable implementation of the highly adaptive lasso algorithm,
including routines for constructing sparse matrices of basis functions of the
observed data, as well as a custom implementation of Lasso regression tailored
to enhance efficiency when the matrix of predictors is composed exclusively of
indicator functions. For ease of use and increased flexibility, the Lasso
fitting routines invoke code from the 'glmnet' package by default. The highly
adaptive lasso was first formulated and described by MJ van der Laan (2017)
, with practical demonstrations of its performance
given by Benkeser and van der Laan (2016) . This
implementation of the highly adaptive lasso algorithm was described by Hejazi,
Coyle, and van der Laan (2020) .
How to cite:
Jeremy Coyle (2020). hal9001: The Scalable Highly Adaptive Lasso. R package version 0.4.6, https://cran.r-project.org/web/packages/hal9001. Accessed 10 May. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for hal9001
Functions, R codes and Examples using
the hal9001 R package
Some associated functions: SL.hal9001 . apply_copy_map . as_dgCMatrix . basis_list_cols . basis_of_degree . calc_pnz . calc_xscale . enumerate_basis . enumerate_edge_basis . evaluate_basis . fit_hal . formula_hal . generate_all_rules . h . hal9000 . hal9001 . hal_quotes . index_first_copy . make_basis_list . make_copy_map . make_design_matrix . make_reduced_basis_map . meets_basis . num_knots_generator . plus-.formula_hal9001 . predict.SL.hal9001 . predict.hal9001 . print.formula_hal9001 . print.summary.hal9001 . quantizer . squash_hal_fit . summary.hal9001 .
Some associated R codes: RcppExports.R . find_dupes.R . formula_hal9001.R . hal.R . hal9000.R . hal9001-package.R . hal_quotes.R . make_basis.R . predict.R . reduce_basis_filter.R . sl_hal9001.R . squash_hal.R . summary.R . zzz.R . Full hal9001 package functions and examples
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