Other packages > Find by keyword >

saekernel  

Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("saekernel", "0.1.1")



Attach the package and use:
library("saekernel")
Maintained by
Wicak Surya Hasani
[Scholar Profile | Author Map]
First Published: 2021-06-04
Latest Update: 2021-06-04
Description:
Propose an area-level, non-parametric regression estimator based on Nadaraya-Watson kernel on small area mean. Adopt a two-stage estimation approach proposed by Prasad and Rao (1990). Mean Squared Error (MSE) estimators are not readily available, so resampling method that called bootstrap is applied. This package are based on the model proposed in Two stage non-parametric approach for small area estimation by Pushpal Mukhopadhyay and Tapabrata Maiti(2004) .
How to cite:
Wicak Surya Hasani (2021). saekernel: Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel. R package version 0.1.1, https://cran.r-project.org/web/packages/saekernel. Accessed 31 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited saekernel R package
View saekernel citation profile
Other R packages that saekernel depends, imports, suggests or enhances
Complete documentation for saekernel
Functions, R codes and Examples using the saekernel R package
Some associated functions: Data_saekernel . mse_saekernel . saekernel . 
Some associated R codes: Data_saekernel.R . mse_saekernel.R . saekernel.R .  Full saekernel package functions and examples
Downloads during the last 30 days
03/0103/0203/0303/0403/0503/0603/0703/0803/1003/1103/1203/1303/1403/1503/1603/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/29Downloads for saekernel12345678910111213TrendBars

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
bodycomp  
Percent Body Fat Values Using Anthropometric Prediction Equations
Skinfold measurements is one of the most popular and practical methods for estimating percent body f ...
Download / Learn more Package Citations See dependency  
tclust  
Robust Trimmed Clustering
Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (200 ...
Download / Learn more Package Citations See dependency  
equivUMP  
Uniformly Most Powerful Invariant Tests of Equivalence
Implementation of uniformly most powerful invariant equivalence tests for one- and two-sample probl ...
Download / Learn more Package Citations See dependency  
PermutationR  
Conduct Permutation Analysis of Variance in R
Conduct permutation One-Way or Two-Way Analysis of Variance in R. Use different permutation types fo ...
Download / Learn more Package Citations See dependency  
whitebox  
'WhiteboxTools' R Frontend
An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platfor ...
Download / Learn more Package Citations See dependency  

23,842

R Packages

207,311

Dependencies

64,420

Author Associations

23,781

Publication Badges

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