Package: saeczi
Type: Package
Title: Small Area Estimation for Continuous Zero Inflated Data
Version: 0.2.0
Authors@R: c(person("Josh", "Yamamoto", role = c("aut", "cre"),
                    email = "joshuayamamoto5@gmail.com"),
             person("Dinan", "Elsyad", role = "aut"),
             person("Grayson", "White", role = "aut"),
             person("Julian", "Schmitt", role = "aut"),
             person("Niels", "Korsgaard", role = "aut"),
             person("Kelly", "McConville", role = "aut"),
             person("Kate", "Hu", role = "aut"))
Maintainer: Josh Yamamoto <joshuayamamoto5@gmail.com>
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+, <doi:10.48550/arXiv.2402.03263>) describe the 
    applicability of this estimator to estimation of forest attributes and further assess the
    estimator's properties. 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, lme4, purrr, progressr, furrr, future, rlang, Rcpp
RoxygenNote: 7.3.1
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppEigen
URL: https://harvard-ufds.github.io/saeczi/
NeedsCompilation: yes
Packaged: 2024-06-06 14:36:29 UTC; joshuayamamoto
Author: Josh Yamamoto [aut, cre],
  Dinan Elsyad [aut],
  Grayson White [aut],
  Julian Schmitt [aut],
  Niels Korsgaard [aut],
  Kelly McConville [aut],
  Kate Hu [aut]
Repository: CRAN
Date/Publication: 2024-06-06 14:50:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 14:57:49 UTC; unix
Archs: saeczi.so.dSYM
