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hdm

0.3.2

High-Dimensional Metrics

6packages depend
23.7Kdownloads / year
0.0%test coverage
11/13checks pass

Overview

About
Maintained by Martin SpindlerFirst published 2016-02-025 releasesCRAN page ↗

Implementation of selected high-dimensional statistical and econometric methods for estimation and inference. Efficient estimators and uniformly valid confidence intervals for various low-dimensional causal/ structural parameters are provided which appear in high-dimensional approximately sparse models. Including functions for fitting heteroscedastic robust Lasso regressions with non-Gaussian errors and for instrumental variable (IV) and treatment effect estimation in a high-dimensional setting. Moreover, the methods enable valid post-selection inference and rely on a theoretically grounded, data-driven choice of the penalty. Chernozhukov, Hansen, Spindler (2016) arXiv:1603.01700.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 9.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.10
0.0%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 302 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
67%
Documented parameters
79%
Return-value docs
92%
References docs
47%

Downloads

23.7K
CRAN downloads in the past year
Rank #3,083 · ~65/day · ~2K/mo
Daily download trend is not available in this view yet.
1.1K30 days
4.1K90 days
23.7K1 year
Compare downloads with other packages →
Also on149 r2u17 autocran1.3K conda_forge76 c2d4u

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0.0
Imports (6)
LinkingTo (0)
none
Enhances (0)
none

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Maintainer, Author
Authors (3)
Maintainer, Author
Contributors (1)
Contributor · added in 0.3.1
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.3.2Latest
    2024-02-14 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.3.1
    2019-01-18 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.2.3
    2018-01-23 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.2.0
    2016-06-17 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 0.1.0
    2016-02-02
Show 1 earlier events
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-02-02
Total releases
5 / 10 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.0.0
Bundled data
1.3 MB / 7 files
Download size
1.5 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hdm")
Spindler, M., Bach, P., Chernozhukov, V., & Hansen, C. (2024). hdm: High-Dimensional Metrics (Version 0.3.2) [Computer software]. https://doi.org/10.32614/CRAN.package.hdm

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for hdm version 0.3.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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