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SumcaVer1
View on CRAN: Click
here
Download and install SumcaVer1 package within the R console
Install from CRAN:
install.packages("SumcaVer1")
Install from Github:
library("remotes")
install_github("cran/SumcaVer1")
Install by package version:
library("remotes")
install_version("SumcaVer1", "0.1.0")
Attach the package and use:
library("SumcaVer1")
Maintained by
Mahmoud Torabi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SumcaVer1 . SumcaVer1 results . SumcaVer1.pdf . SumcaVer1_0.1.0.tar.gz . SumcaVer1_0.1.0.zip . SumcaVer1_0.1.0.zip . SumcaVer1_0.1.0.zip . SumcaVer1_0.1.0.tgz . SumcaVer1_0.1.0.tgz . SumcaVer1_0.1.0.tgz . SumcaVer1_0.1.0.tgz . SumcaVer1_0.1.0.tgz . SumcaVer1_0.1.0.tgz . https://CRAN.R-project.org/package=SumcaVer1 .
First Published: 2024-07-21
Latest Update: 2024-07-21
Description:
Estimation of mean squared prediction error of a small area predictor is provided. In particular, the recent method of Simple, Unified, Monte-Carlo Assisted approach for the mean squared prediction error estimation of small area predictor is provided. We also provide other existing methods of mean squared prediction error estimation such as jackknife method for the mixed logistic model.
How to cite:
Mahmoud Torabi (2024). SumcaVer1: Mean Square Prediction Error Estimation in Small Area Estimation. R package version 0.1.0, https://cran.r-project.org/web/packages/SumcaVer1. Accessed 22 Feb. 2025.
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