CRAN/E | SAEforest

SAEforest

Mixed Effect Random Forests for Small Area Estimation

Installation

About

Mixed Effects Random Forests (MERFs) are a data-driven, nonparametric alternative to current methods of Small Area Estimation (SAE). 'SAEforest' provides functions for the estimation of regionally disaggregated linear and nonlinear indicators using survey sample data. Included procedures facilitate the estimation of domain-level economic and inequality metrics and assess associated uncertainty. Emphasis lies on straightforward interpretation and visualization of results. From a methodological perspective, the package builds on approaches discussed in Krennmair and Schmid (2022) and Krennmair et al. (2022) .

github.com/krennpa/SAEforest
krennpa.github.io/SAEforest/
Copyright see file COPYRIGHTS

Key Metrics

Version 1.0.0
R ≥ 4.1.0
Published 2022-09-07 651 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks SAEforest results

Downloads

Yesterday 0
Last 7 days 8 -20%
Last 30 days 39 -15%
Last 90 days 128 -17%
Last 365 days 760 -51%

Maintainer

Maintainer

Patrick Krennmair

Authors

Patrick Krennmair

aut / cre

Material

README
Reference manual
Package source

Vignettes

The R Package SAEforest

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 4.1.0

Imports

caret
dplyr
ggplot2
haven
ineq
lme4
maptools
pbapply
pdp
ranger
reshape2
stats
vip

Suggests

R.rsp
sp
rgeos
testthat ≥ 3.0.0