saeczi - Small Area Estimation for Continuous Zero Inflated Data
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+, <doi:10.48550/arXiv.2402.03263>) describe the
applicability of this estimator to estimation of forest
attributes and further assess the estimator's properties.