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CREDS  

Calibrated Ratio Estimator under Double Sampling Design
View on CRAN: Click here


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

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

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



Attach the package and use:
library("CREDS")
Maintained by
Dr. Sadikul Islam
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-01
Latest Update: 2022-07-01
Description:
Population ratio estimator (calibrated) under two-phase random sampling design has gained enormous popularity in the recent time. This package provides functions for estimation population ratio (calibrated) under two phase sampling design, including the approximate variance of the ratio estimator. The improved ratio estimator can be applicable for both the case, when auxiliary data is available at unit level or aggregate level (eg., mean or total) for first phase sampled. Calibration weight of each unit of the second phase sample was calculated. Single and combined inclusion probabilities were also estimated for both phases under two phase random [simple random sampling without replacement (SRSWOR)] sampling. The improved ratio estimator's percentage coefficient of variation was also determined as a measure of accuracy. This package has been developed based on the theoretical development of Islam et al. (2021) and Ozgul (2020) .
How to cite:
Dr. Sadikul Islam (2022). CREDS: Calibrated Ratio Estimator under Double Sampling Design. R package version 0.1.0, https://cran.r-project.org/web/packages/CREDS. Accessed 04 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited CREDS R package
View CREDS citation profile
Other R packages that CREDS depends, imports, suggests or enhances
Complete documentation for CREDS
Functions, R codes and Examples using the CREDS R package
Some associated functions: RCRatio . 
Some associated R codes: CREDS.R .  Full CREDS package functions and examples
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