Other packages > Find by keyword >

msae  

Multivariate Fay Herriot Models for Small Area Estimation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("msae", "0.1.5")



Attach the package and use:
library("msae")
Maintained by
Novia Permatasari
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-20
Latest Update: 2022-04-24
Description:
Implements multivariate Fay-Herriot models for small area estimation. It uses empirical best linear unbiased prediction (EBLUP) estimator. Multivariate models consider the correlation of several target variables and borrow strength from auxiliary variables to improve the effectiveness of a domain sample size. Models which accommodated by this package are univariate model with several target variables (model 0), multivariate model (model 1), autoregressive multivariate model (model 2), and heteroscedastic autoregressive multivariate model (model 3). Functions provide EBLUP estimators and mean squared error (MSE) estimator for each model. These models were developed by Roberto Benavent and Domingo Morales (2015) .
How to cite:
Novia Permatasari (2020). msae: Multivariate Fay Herriot Models for Small Area Estimation. R package version 0.1.5, https://cran.r-project.org/web/packages/msae. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2020-03-20 18:30), 0.1.1 (2020-03-28 09:20), 0.1.2 (2020-06-05 08:50), 0.1.3 (2021-04-12 07:10), 0.1.4 (2021-10-01 10:00)
Other packages that cited msae R package
View msae citation profile
Other R packages that msae depends, imports, suggests or enhances
Complete documentation for msae
Functions, R codes and Examples using the msae R package
Some associated functions: datasae1 . datasae2 . datasae3 . df2matR . eblupMFH1 . eblupMFH2 . eblupMFH3 . eblupUFH . msae . 
Some associated R codes: data1.R . data2.R . data3.R . df2matR.R . eblupMFH1.R . eblupMFH2.R . eblupMFH3.R . eblupUFH.R . msae-package.R .  Full msae package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA