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surveySimR  

Estimation of Population Total under Complex Sampling Design
View on CRAN: Click here


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

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

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



Attach the package and use:
library("surveySimR")
Maintained by
Nobin Chandra Paul
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-29
Latest Update: 2025-05-29
Description:
Sample surveys use scientific methods to draw inferences about population parameters by observing a representative part of the population, called sample. The SRSWOR (Simple Random Sampling Without Replacement) is one of the most widely used probability sampling designs, wherein every unit has an equal chance of being selected and units are not repeated.This function draws multiple SRSWOR samples from a finite population and estimates the population parameter i.e. total of HT, Ratio, and Regression estimators. Repeated simulations (e.g., 500 times) are used to assess and compare estimators using metrics such as percent relative bias (%RB), percent relative root means square error (%RRMSE).For details on sampling methodology, see, Cochran (1977) "Sampling Techniques" <https://archive.org/details/samplingtechniqu0000coch_t4x6>.
How to cite:
Nobin Chandra Paul (2025). surveySimR: Estimation of Population Total under Complex Sampling Design. R package version 0.1.0, https://cran.r-project.org/web/packages/surveySimR. Accessed 28 Oct. 2026.
Previous versions and publish date:
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Complete documentation for surveySimR
Functions, R codes and Examples using the surveySimR R package
Full surveySimR package functions and examples
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