Package: surveySimR 0.1.0

surveySimR: Estimation of Population Total under Complex Sampling Design

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>.

Authors:Nobin Chandra Paul [aut, cre, cph], Santosha Rathod [aut, cph], Navyasree Ponnaganti [aut, cph]

surveySimR_0.1.0.tar.gz
surveySimR_0.1.0.zip(r-4.7)surveySimR_0.1.0.zip(r-4.6)surveySimR_0.1.0.zip(r-4.5)
surveySimR_0.1.0.tgz(r-4.6-any)surveySimR_0.1.0.tgz(r-4.5-any)
surveySimR_0.1.0.tar.gz(r-4.7-any)surveySimR_0.1.0.tar.gz(r-4.6-any)
surveySimR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
surveySimR/json (API)

# Install 'surveySimR' in R:
install.packages('surveySimR', repos = c('https://nobinstat.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 scripts 590 downloads 2 exports 31 dependencies

Last updated from:bd7f613a52. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK167
linux-release-x86_64OK128
macos-release-arm64OK128
macos-oldrel-arm64OK130
windows-develOK75
windows-releaseOK69
windows-oldrelOK69
wasm-releaseOK110

Exports:run_survey_sim_appsurvey_sim_est

Dependencies:base64encbslibcachemclicommonmarkdigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimemomentsotelpromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable

Estimation of Finite Population Total under Complex Sampling Design viz. SRSWOR

Rendered fromsurvey_sim_est.Rmdusingknitr::rmarkdownon May 06 2026.

Last update: 2025-05-29
Started: 2025-05-29