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HDShOP

0.1.7Package record

High-Dimensional Shrinkage Optimal Portfolios

0packages dependsuggested by 1
3.7Kdownloads / year
74.3%test coverage
13/13flavors OK

Overview

About

Constructs shrinkage estimators of high-dimensional mean-variance portfolios and performs high-dimensional tests on optimality of a given portfolio. The techniques developed in Bodnar et al. (2018 doi:10.1016/j.ejor.2017.09.028, 2019 doi:10.1109/TSP.2019.2929964, 2020 doi:10.1109/TSP.2020.3037369, 2021 doi:10.1080/07350015.2021.2004897) are central to the package. They provide simple and feasible estimators and tests for optimal portfolio weights, which are applicable for 'large p and large n' situations where p is the portfolio dimension (number of stocks) and n is the sample size. The package also includes tools for constructing portfolios based on shrinkage estimators of the mean vector and covariance matrix as well as a new Bayesian estimator for the Markowitz efficient frontier recently developed by Bauder et al. (2021) doi:10.1080/14697688.2020.1748214.

Changes in 0.1.7
  • References were updated.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.7
README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 0.1.7Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
22 (1 internal)includes a package overview page
Examples that run
100%19 run in a plain check
Exported functions with examples
100%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
55% with a bibliography file

Downloads

3.7K
CRAN downloads in the past year
Rank #10,355 · ~10/day · ~309/mo
Daily download trend is not available in this view yet.
42430 days
99190 days
3.7K1 year
Compare downloads with other packages →
Also on127 r2u1 autocran117 c2d4u

Repository

Moved from otryakhin-dmitry/global-minimum-variance-portfolio.

6Stars
2Forks
0Open issues
0Open PRs
0Releases
166Commits
2Commit identities
financial-mathematicshigh-dimensional-dataportfolio-managementshrinkage-estimators
License file reads as GPL-3.0 · 166 commits · Last activity 2025-11-18 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
11
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-09-25 · 52026-07-07 · 6
PracticesBeta

8 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/otryakhin-dmitry/global-minimum-variance-portfolio on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)
Contributing guide
Coverage (1)
Coverage reporting
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Show all practicesHide 2 practices
Research and citation (1)
codemeta.json
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing HDShOP adds 2 packages (1 with compiled code, 1.5 MB of source tarballs). Heaviest: rbibutils 1.1 MB, Rdpack 370 KB.

Depends (1)
R >= 3.5.0
Imports (2)
Rdpacklattice
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (5)
Author, Maintainer since 0.1.0 (2021)
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.7Latest
    record
    2025-11-14 · current release · diff ↗
  • 0.1.6
    record
    2025-10-19 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.5
    record
    2024-03-25 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.3
    record
    2022-11-08 · diff ↗ ·
    added 3 exports
    new_GMV_portfolio_weights_BDPS19_pgn, new_MV_portfolio_traditional_pgn, new_MV_portfolio_weights_BDOPS21_pgn
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.2
    record
    2021-10-23 · diff ↗
  • 0.1.1
    record
    2021-09-03 · diff ↗
  • 0.1.0
    record
    2021-08-02
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-08-02
Total releases
7 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
857 KB / 1 file
Download size
929 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("HDShOP")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1080/1351847x.2025.2501637.

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 HDShOP version 0.1.7 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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