Package: AutoWMM 1.0.1

Mallory J Flynn

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>.

Authors:Mallory J Flynn [cre, aut]

AutoWMM_1.0.1.tar.gz
AutoWMM_1.0.1.tar.gz(r-4.5-noble)AutoWMM_1.0.1.tar.gz(r-4.4-noble)
AutoWMM_1.0.1.tgz(r-4.4-emscripten)AutoWMM_1.0.1.tgz(r-4.3-emscripten)
AutoWMM.pdf |AutoWMM.html
AutoWMM/json (API)
NEWS

# Install 'AutoWMM' in R:
install.packages('AutoWMM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/malfly/autowmm/issues

Datasets:

2.00 score 3 scripts 14 exports 69 dependencies

Last updated 5 days agofrom:44539467fb. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-linuxOKOct 25 2024

Exports:confIntscountTreedrawTreeestTreeko.weightslogEstimatesmakeTreemmEstimateNhatsroot.confIntsampleBetass.confIntsssEstimatewmmTree

Dependencies:base64encbitbit64bslibcachemclicliprcolorspacecpp11crayondata.treeDiagrammeRdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsgluegtoolshighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemimemunsellpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerreadrrlangrmarkdownrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml

AutoWMM: Automating the WMM on Trees

Rendered fromAutoWMM.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2024-10-24
Started: 2024-10-24

Readme and manuals

Help Manual

Help pageTopics
confIntsconfInts
countTreecountTree
drawTreedrawTree
estTreeestTree
ko.weightsko.weights
logEstimateslogEstimates
makeTreemakeTree
mmEstimatemmEstimate
NhatsNhats
root.confIntroot.confInt
sampleBetasampleBeta
ss.confIntsss.confInts
ssEstimatessEstimate
Simple Tree DatatreeData1
Larger Tree DatatreeData2
wmmTreewmmTree