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graysonwhite authored Feb 19, 2024
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13 changes: 8 additions & 5 deletions DESCRIPTION
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Expand Up @@ -11,11 +11,14 @@ Authors@R: c(person("Josh", "Yamamoto", role = c("aut", "cre"),
person("Kelly", "McConville", role = "aut"),
person("Kate", "Hu", role = "aut"))
Maintainer: Josh Yamamoto <joshuayamamoto5@gmail.com>
Description: Simplifies the process of fitting a zero-inflated estimator
onto a dataset. This estimator is a combination of a linear mixed effects regression model
and a logistic mixed effects regression model which is summarized by White and others (2024, <arXiv:2402.03263>).
The variance is estimated through a parametric bootstrapping method which is given
by Chandra and others (2012, <doi:10.1080/03610918.2011.598991>).
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, <doi:10.1080/03610918.2011.598991>) introduce and describe this estimator and mean
squared error estimator. White and others (2024+, <arXiv:2402.03263>) describe the
applicatability of this estimator to estimation of forest attributes and further assess the
estimator's properties.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
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