saeproj.multilevel: Small Area Estimation Using a Projection Estimator with a Multilevel Regression Model

Package: saeproj.multilevel 0.1.0

Nazlya Rahma Susanto

saeproj.multilevel: Small Area Estimation Using a Projection Estimator with a Multilevel Regression Model

Provides tools for small area estimation using a projection estimator with a linear multilevel working model. The main function fits a multilevel model to a smaller survey containing the response variable and auxiliary predictors, predicts outcomes in a larger projection survey, and computes domain-level estimates with a design-based residual correction.

Authors:Nazlya Rahma Susanto [aut, cre], Azka Ubaidillah [aut]

saeproj.multilevel_0.1.0.tar.gz
saeproj.multilevel_0.1.0.tar.gz(r-4.7-any)saeproj.multilevel_0.1.0.tar.gz(r-4.6-any)
saeproj.multilevel_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
saeproj.multilevel/json (API)

# Install 'saeproj.multilevel' in R:

install.packages('saeproj.multilevel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rahmanazlya02/saeproj.multilevel/issues

Datasets:

saeml_modelsvy - Saeml_modelsvy
saeml_projsvy - Saeml_projsvy

On CRAN:

2.70 score 1 exports 34 dependencies

Last updated from:a612fd8d8e. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	201
source / vignettes	OK	195
linux-release-x86_64	OK	211
wasm-release	OK	132

Exports:sae_ml_linear

Dependencies:boot cli DBI dplyr generics glue lattice lifecycle lme4 magrittr MASS Matrix minqa mitools nlme nloptr numDeriv pillar pkgconfig R6 rbibutils Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang survey survival tibble tidyselect utf8 vctrs withr

Small Area Estimation Using a Projection Estimator with a Multilevel Regression Model

Introduction | Method Overview | [\widehat{\mathrm{Var}}\left(\hat{Y}^{PR}_d\right) | Load the Package and Example Data | Fit the Multilevel Projection Estimator | Final Domain-Level Estimates | Estimation Components | Model Parameters | Model Diagnostics | Retaining Unit-Level Predictions and Residuals | Direct Estimation | Multiple Domain Variables | Survey Design Specification | Important Data Requirements | Output Structure | References

Rendered fromsae_ml_linear.Rmdusingknitr::rmarkdown

Help page	Topics
Coerce an sae_ml_linear object to a data frame	as.data.frame.sae_ml_linear
Print method for sae_ml_linear	print.sae_ml_linear
Small Area Estimation Using a Projection Estimator with a Linear Multilevel Regression Model	sae_ml_linear
saeml_modelsvy	saeml_modelsvy
saeml_projsvy	saeml_projsvy
Summary method for sae_ml_linear	summary.sae_ml_linear

Help page

Topics

Coerce an sae_ml_linear object to a data frame

as.data.frame.sae_ml_linear

Print method for sae_ml_linear

print.sae_ml_linear

Small Area Estimation Using a Projection Estimator with a Linear Multilevel Regression Model

sae_ml_linear

saeml_modelsvy

saeml_projsvy

Summary method for sae_ml_linear

summary.sae_ml_linear