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DHSr  

Create Large Scale Repeated Regression Summary Statistics Dataset and Visualization Seamlessly
View on CRAN: Click here


Download and install DHSr package within the R console
Install from CRAN:
install.packages("DHSr")

Install from Github:
library("remotes")
install_github("cran/DHSr")

Install by package version:
library("remotes")
install_version("DHSr", "0.1.0")



Attach the package and use:
library("DHSr")
Maintained by
Arnab Samanta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-10
Latest Update: 2025-01-10
Description:
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.
How to cite:
Arnab Samanta (2025). DHSr: Create Large Scale Repeated Regression Summary Statistics Dataset and Visualization Seamlessly. R package version 0.1.0, https://cran.r-project.org/web/packages/DHSr. Accessed 06 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited DHSr R package
View DHSr citation profile
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Complete documentation for DHSr
Functions, R codes and Examples using the DHSr R package
Full DHSr package functions and examples
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