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Create Large Scale Repeated Regression Summary Statistics Dataset and Visualization Seamlessly

0packages depend
2.3Kdownloads / year
86.4%test coverage
13/13flavors OK

Overview

About

Mapping, spatial analysis, and statistical modeling of microdata from sources such as the Demographic and Health Surveys https://www.dhsprogram.com/ and Integrated Public Use Microdata Series https://www.ipums.org/. It can also be extended to other datasets. The package supports spatial correlation index construction and visualization, along with empirical Bayes approximation of regression coefficients in a multistage setup. The main functionality is repeated regression — for example, if we have to run regression for n groups, the group ID should be vertically composed into the variable for the parameter `location_var`. It can perform various kinds of regression, such as Generalized Regression Models, logit, probit, and more. Additionally, it can incorporate interaction effects. The key benefit of the package is its ability to store the regression results performed repeatedly on a dataset by the group ID, along with respective p-values and map those estimates.

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-09
  • WARNING12 OK, 1 WARNING2026-05-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 1,555 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
10
Examples that run
100%10 run in a plain check (3 of them under a condition)
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

2.3K
CRAN downloads in the past year
Rank #19,145 · ~6/day · ~195/mo
Daily download trend is not available in this view yet.
25430 days
68690 days
2.3K1 year
Compare downloads with other packages →
Also on69 r2u8 autocran

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing DHSr adds 46 packages (26 with compiled code, 62 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2025)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.0Latest
    2025-01-10 · current release
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-01-10
Total releases
1 / 1 yrs
License
GPL-3 OSI
Download size
23 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DHSr")
Samanta, A. (2025). DHSr: Create Large Scale Repeated Regression Summary Statistics Dataset and Visualization Seamlessly (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.DHSr

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 DHSr version 0.1.0 [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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