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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]
First Published: 2024-02-13
Latest Update: 2024-02-13
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 30 Jan. 2025.
Previous versions and publish date:
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)
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Complete documentation for saeczi
Functions, R codes and Examples using the saeczi R package
Full saeczi package functions and examples
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