<p>FIA Population Level Auxiliary Data for Oregon</p>

datasets

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.

Josh Yamamoto

saeczi

Small Area Estimation for Continuous Zero Inflated Data

Dinan Elsyad

Grayson White

Julian Schmitt

Niels Korsgaard

Kelly McConville

Kate Hu

pop function

<p>An object of class <code>data.frame</code> with 10060 rows and 10 columns.</p>

Format

FIA Population Level Auxiliary Data for Oregon — pop

FIA Population Level Auxiliary Data for Oregon

pop: FIA Population Level Auxiliary Data for Oregon

Description

Usage

Arguments

Format