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msaeob

https://github.com/yas-q/msaeob

Science Score: 13.0%

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    CITATION.cff file
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    codemeta.json file
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    Found 2 DOI reference(s) in README
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    Low similarity (11.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: yas-q
  • Language: R
  • Default Branch: master
  • Size: 109 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed about 4 years ago
Metadata Files
Readme

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# msaeOB




Implements multivariate optimum benchmarking small area estimation. This package provides optimum benchmarking estimation for univariate and multivariate small area estimation and its MSE. In fact, MSE estimators for optimum benchmark are not readily available, so resampling method that called parametric bootstrap is applied. The optimum benchmark model and parametric bootstrap in this package are based on the model proposed in small area estimation (J.N.K Rao and Isabel Molina, 2015).

## Authors

Muhammad Yasqi Imanda, Zenda Oka Briantiko, Azka Ubaidillah

## Maintainer

Muhammad Yasqi Imanda <221810403@stis.ac.id>

## Installation

You can install the released version of msaeOB from [CRAN](https://CRAN.R-project.org) with:

``` r
install.packages("msaeOB")
```

## Functions

* est_saeOB : Produces EBLUPs Optimum Benchmarking based on a Univariate Fay-Herriot (Model 1)
* mse_saeOB : Parametric Bootstrap Mean Squared Error Estimators of Optimum Benchmarking for Univariate Small Area Estimation
* est_msaeOB : Produces EBLUPs Optimum Benchmarking based on a Multivariate Fay-Herriot (Model 1)
* mse_msaeOB : Parametric Bootstrap Mean Squared Error Estimators of Optimum Benchmarking for Multivariate Small Area Estimation
* est_saeOBns : Produces EBLUPs Optimum Benchmarking for Non Sampled Area based on a Univariate Fay-Herriot (Model 1)
* mse_saeOBns : Parametric Bootstrap Mean Squared Error Estimators of Optimum Benchmarking for Univariate Non Sampled Area in Small Area Estimation
* est_msaeOBns : Produces EBLUPs Optimum Benchmarking for Non Sampled Area based on a Multivariate Fay Herriot (Model 1)
* mse_msaeOBns : Parametric Bootstrap Mean Squared Error Estimators of Optimum Benchmarking for Multivariate Non Sampled Area in Small Area Estimation

## References

* Rao, J.N.K & Molina. (2015). Small Area Estimation 2nd Edition. New York: John Wiley and Sons, Inc.
* Benavent, Roberto & Morales, Domingo. (2015). "Multivariate Fay-Herriot models for small area estimation". Computational Statistics and Data Analysis 94 2016 372-390. DOI: 10.1016/j.csda.2015.07.013.
* Ubaidillah, Azka et al. (2019). Multivariate Fay-Herriot models for small area estimation with application to household consumption per capita expenditure in Indonesia. Journal of Applied Statistics. 46:15. 2845-2861. DOI: 10.1080/02664763.2019.1615420.
* Wang, J., Fuller, W.A., and Qu, Y. (2008). Small Area Estimation Under Restriction. Survey Methodology. 34. 29–36.
* You, Y., Rao, J.N.K., and Hidiroglou, M.A. (2013). On the Performance of Self-Benchmarked Small Area Estimators Under the Fay-Herriot Area Level Model. Survey Methodology, 39, 217–229.
* Krzciuk, M. K. (2018). On the Simulation Study of Jackknife and Bootstrap MSE Estimators of a Domain Mean Predictor for Fay‑Herriot Model. Acta Universitatis Lodziensis. Folia Oeconomica, 5(331), 169-183.

GitHub Events

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Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 31
  • Total Committers: 2
  • Avg Commits per committer: 15.5
  • Development Distribution Score (DDS): 0.065
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
yas-q y****a@g****m 29
yas-q 6****q 2

Issues and Pull Requests

Last synced: almost 3 years ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: about 7 hours
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 2.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
  • JfrAziz (1)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 152 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: msaeOB

Optimum Benchmarking for Multivariate Small Area Estimation

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 152 Last month
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Average: 43.0%
Downloads: 85.9%
Maintainers (1)
221810403@stis.ac.id
Last synced: over 2 years ago