Other packages > Find by keyword >

saeczi  

Small Area Estimation for Continuous Zero Inflated Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("saeczi", "0.2.0")



Attach the package and use:
library("saeczi")
Maintained by
Josh Yamamoto
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-13
Latest Update: 2024-06-06
Description:
Provides functionality to fit a zero-inflated estimator for small area estimation. This estimator is a combines a linear mixed effects regression model and a logistic mixed effects regression model via a two-stage modeling approach. The estimator's mean squared error is estimated via a parametric bootstrap method. Chandra and others (2012, ) introduce and describe this estimator and mean squared error estimator. White and others (2024+, ) describe the applicability of this estimator to estimation of forest attributes and further assess the estimator's properties.
How to cite:
Josh Yamamoto (2024). saeczi: Small Area Estimation for Continuous Zero Inflated Data. R package version 0.2.0, https://cran.r-project.org/web/packages/saeczi. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 0.1.0 (2024-02-13 17:50), 0.1.1 (2024-03-13 22:40), 0.1.2 (2024-03-28 14:30), 0.1.3 (2024-04-15 17:00)
Other packages that cited saeczi R package
View saeczi citation profile
Other R packages that saeczi depends, imports, suggests or enhances
Complete documentation for saeczi
Functions, R codes and Examples using the saeczi R package
Full saeczi package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
separationplot  
Separation Plots
Visual representations of model fit or predictive success in the form of "separation plots." See Gr ...
Download / Learn more Package Citations See dependency  
baffle  
Make Waffle Plots with Base Graphics
Waffle plots are rectangular pie charts that represent a quantity or abundances using colored squar ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
githubinstall  
A Helpful Way to Install R Packages Hosted on GitHub
Provides an helpful way to install packages hosted on GitHub. ...
Download / Learn more Package Citations See dependency  
TRMF  
Temporally Regularized Matrix Factorization
Functions to estimate temporally regularized matrix factorizations (TRMF) for forecasting and imputi ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,495

Author Associations

28,990

Publication Badges

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