Data

Tools

Indexes

Applications

Experiments

Open Source Science

betaDelta

betaDelta: Confidence Intervals for Standardized Regression Coefficients

https://github.com/jeksterslab/betadelta

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 19 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.6%) to scientific vocabulary

Keywords

confidence-intervals delta-method-standard-errors r r-package standardized-regression-coefficients
Last synced: 6 months ago · JSON representation ·

Repository

betaDelta: Confidence Intervals for Standardized Regression Coefficients

Basic Info
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 6
Topics
confidence-intervals delta-method-standard-errors r r-package standardized-regression-coefficients
Created about 3 years ago · Last pushed 7 months ago
Metadata Files
Readme Changelog License Citation

README.md

betaDelta

Ivan Jacob Agaloos Pesigan 2025-07-22

CRAN Status R-Universe Status DOI Make Project R-CMD-check R Package Test Coverage Lint R Package Package Website (GitHub Pages) Compile LaTeX Shell Check pages-build-deployment codecov <!-- badges: end -->

Description

Generates confidence intervals for standardized regression coefficients using delta method standard errors for models fitted by lm() as described in Yuan and Chan (2011: http://doi.org/10.1007/s11336-011-9224-6) and Jones and Waller (2015: http://doi.org/10.1007/s11336-013-9380-y). The package can also be used to generate confidence intervals for differences of standardized regression coefficients and as a general approach to performing the delta method. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023: https://doi.org/10.1080/00273171.2023.2201277).

Installation

You can install the CRAN release of betaDelta with:

r install.packages("betaDelta")

You can install the development version of betaDelta from GitHub with:

r if (!require("remotes")) install.packages("remotes") remotes::install_github("jeksterslab/betaDelta")

Example

In this example, a multiple regression model is fitted using program quality ratings (QUALITY) as the regressand/outcome variable and number of published articles attributed to the program faculty members (NARTIC), percent of faculty members holding research grants (PCTGRT), and percentage of program graduates who received support (PCTSUPP) as regressor/predictor variables using a data set from 1982 ratings of 46 doctoral programs in psychology in the USA (National Research Council, 1982). Confidence intervals for the standardized regression coefficients are generated using the BetaDelta() function from the betaDelta package following Yuan & Chan (2011) and Jones & Waller (2015).

r library(betaDelta)

r df <- betaDelta::nas1982

Fit the regression model using the lm() function.

r object <- lm(QUALITY ~ NARTIC + PCTGRT + PCTSUPP, data = df)

Estimate the standardized regression slopes and the corresponding sampling covariance matrix.

Multivariate Normal-Theory Approach

``` r BetaDelta(object, type = "mvn", alpha = 0.05)

> Call:

> BetaDelta(object = object, type = "mvn", alpha = 0.05)

>

> Standardized regression slopes with MVN standard errors:

> est se t df p 2.5% 97.5%

> NARTIC 0.4951 0.0759 6.5272 42 0.000 0.3421 0.6482

> PCTGRT 0.3915 0.0770 5.0824 42 0.000 0.2360 0.5469

> PCTSUPP 0.2632 0.0747 3.5224 42 0.001 0.1124 0.4141

```

Asymptotic Distribution-Free Approach

``` r BetaDelta(object, type = "adf", alpha = 0.05)

> Call:

> BetaDelta(object = object, type = "adf", alpha = 0.05)

>

> Standardized regression slopes with ADF standard errors:

> est se t df p 2.5% 97.5%

> NARTIC 0.4951 0.0674 7.3490 42 0.0000 0.3592 0.6311

> PCTGRT 0.3915 0.0710 5.5164 42 0.0000 0.2483 0.5347

> PCTSUPP 0.2632 0.0769 3.4231 42 0.0014 0.1081 0.4184

```

Other Features

The package can also be used to generate confidence intervals for differences of standardized regression coefficients using the DiffBetaDelta() function. It can also be used as a general approach to performing the delta method using the Delta() and DeltaGeneric() functions.

Citation

To cite betaDelta in publications, please use:

Pesigan, I. J. A., Sun, R. W., & Cheung, S. F. (2023). betaDelta and betaSandwich: Confidence intervals for standardized regression coefficients in R. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2201277

Documentation

See GitHub Pages for package documentation.

Citation

To cite betaDelta in publications, please cite Pesigan et al. (2023).

References

Jones, J. A., & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: Theoretical extensions and finite sample behavior. *Psychometrika*, *80*(2), 365–378.
National Research Council. (1982). *An assessment of research-doctorate programs in the United States: Social and behavioral sciences*. National Academies Press.
Pesigan, I. J. A., Sun, R. W., & Cheung, S. F. (2023). betaDelta and betaSandwich: Confidence intervals for standardized regression coefficients in R. *Multivariate Behavioral Research*, *58*(6), 1183–1186.
Yuan, K.-H., & Chan, W. (2011). Biases and standard errors of standardized regression coefficients. *Psychometrika*, *76*(4), 670–690.

Owner

  • Name: Ivan Jacob Agaloos Pesigan
  • Login: jeksterslab
  • Kind: user
  • Company: University of Macau

Citation (CITATION.cff) 

# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "betaDelta" in publications use:'
type: software
license: MIT
title: 'betaDelta: Confidence Intervals for Standardized Regression Coefficients'
version: 1.0.6
doi: 10.1080/00273171.2023.2201277
identifiers:
- type: doi
  value: 10.32614/CRAN.package.betaDelta
abstract: Generates confidence intervals for standardized regression coefficients
  using delta method standard errors for models fitted by lm() as described in Yuan
  and Chan (2011) <https://doi.org/10.1007/s11336-011-9224-6> and Jones and Waller
  (2015) <https://doi.org/10.1007/s11336-013-9380-y>. The package can also be used
  to generate confidence intervals for differences of standardized regression coefficients
  and as a general approach to performing the delta method. A description of the package
  and code examples are presented in Pesigan, Sun, and Cheung (2023) <https://doi.org/10.1080/00273171.2023.2201277>.
authors:
- family-names: Pesigan
  given-names: Ivan Jacob Agaloos
  email: r.jeksterslab@gmail.com
  orcid: https://orcid.org/0000-0003-4818-8420
preferred-citation:
  type: article
  title: 'betaDelta and betaSandwich: Confidence intervals for standardized regression
    coefficients in R'
  authors:
  - family-names: Pesigan
    given-names: Ivan Jacob Agaloos
    email: r.jeksterslab@gmail.com
    orcid: https://orcid.org/0000-0003-4818-8420
  - family-names: Sun
    given-names: Rongwei
    email: irissun_s@hotmail.com
    orcid: https://orcid.org/0000-0003-0034-1422
  - family-names: Cheung
    given-names: Shu Fai
    email: shufai.cheung@gmail.com
    orcid: https://orcid.org/0000-0002-9871-9448
  year: '2023'
  doi: 10.1080/00273171.2023.2201277
  journal: Multivariate Behavioral Research
repository: https://CRAN.R-project.org/package=betaDelta
repository-code: https://github.com/jeksterslab/betaDelta
url: https://jeksterslab.github.io/betaDelta/
contact:
- family-names: Pesigan
  given-names: Ivan Jacob Agaloos
  email: r.jeksterslab@gmail.com
  orcid: https://orcid.org/0000-0003-4818-8420
keywords:
- confidence-intervals
- delta-method-standard-errors
- r
- r-package
- standardized-regression-coefficients

GitHub Events

Total
  • Push event: 45
Last Year
  • Push event: 45

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 230
  • Total Committers: 1
  • Avg Commits per committer: 230.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 32
  • Committers: 1
  • Avg Commits per committer: 32.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
jeksterslab l****b@g****m 230

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 324 last-month
  • Total docker downloads: 2,145
  • Total dependent packages: 1
  • Total dependent repositories: 0
  • Total versions: 6
  • Total maintainers: 1
cran.r-project.org: betaDelta

Confidence Intervals for Standardized Regression Coefficients

  • Versions: 6
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 324 Last month
  • Docker Downloads: 2,145
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Average: 39.9%
Downloads: 70.1%
Maintainers (1)
r.jeksterslab@gmail.com
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • methods * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests
.github/workflows/check-full.yml actions
  • actions/checkout v4 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/latex.yml actions
  • actions/checkout v4 composite
  • s0/git-publish-subdir-action develop composite
.github/workflows/lint.yml actions
  • actions/checkout v4 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/make-all.yml actions
  • actions/checkout v4 composite
.github/workflows/make.yml actions
  • actions/checkout v4 composite
  • devops-infra/action-commit-push master composite
.github/workflows/pkgdown-gh-pages.yml actions
  • JamesIves/github-pages-deploy-action v4 composite
  • actions/checkout v4 composite
.github/workflows/rhub.yml actions
  • actions/checkout v4 composite
  • r-lib/actions/check-r-package v2 composite
.github/workflows/shellcheck.yml actions
  • actions/checkout v4 composite
  • ludeeus/action-shellcheck master composite
.github/workflows/source.yml actions
  • actions/checkout v4 composite
  • s0/git-publish-subdir-action develop composite
.github/workflows/test-coverage.yml actions
  • actions/checkout v4 composite
  • actions/upload-artifact v3 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.devcontainer/Dockerfile docker
  • ijapesigan/r2u-r-project latest build