AutoWMM: Perform the Weighted Multiplier Method on Trees

When many possible multiplier method estimates of a target population are available, a weighted sum of estimates from each back-calculated path can be achieved with this package. Variance-minimizing weights are used and with any admissible tree-structured data. The methodological basis used to create this package can be found in Flynn (2023) <http://hdl.handle.net/2429/86174>.

Version:	1.0.1
Depends:	R (≥ 4.3.0)
Imports:	data.tree, DiagrammeR, dplyr, gtools, MASS, rlang, magrittr, tidyselect
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-10-24
DOI:	10.32614/CRAN.package.AutoWMM
Author:	Mallory J Flynn [cre, aut]
Maintainer:	Mallory J Flynn <mallory.flynn at stat.ubc.ca>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/malfly/AutoWMM
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	AutoWMM results

Documentation:

Reference manual:	AutoWMM.pdf
Vignettes:	AutoWMM (source, R code)

Downloads:

Package source:	AutoWMM_1.0.1.tar.gz
Windows binaries:	r-devel: AutoWMM_1.0.1.zip, r-release: AutoWMM_1.0.1.zip, r-oldrel: AutoWMM_1.0.1.zip
macOS binaries:	r-release (arm64): AutoWMM_1.0.1.tgz, r-oldrel (arm64): AutoWMM_1.0.1.tgz, r-release (x86_64): AutoWMM_1.0.1.tgz, r-oldrel (x86_64): AutoWMM_1.0.1.tgz

Reverse dependencies:

Reverse imports:

JAGStree

Linking:

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