Package: AutoWMM 1.0.1
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:
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')) |
Bug tracker:https://github.com/malfly/autowmm/issues
Last updated 5 days agofrom:44539467fb. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-linux | OK | Oct 25 2024 |
Exports:confIntscountTreedrawTreeestTreeko.weightslogEstimatesmakeTreemmEstimateNhatsroot.confIntsampleBetass.confIntsssEstimatewmmTree
Dependencies:base64encbitbit64bslibcachemclicliprcolorspacecpp11crayondata.treeDiagrammeRdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsgluegtoolshighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemimemunsellpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerreadrrlangrmarkdownrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
confInts | confInts |
countTree | countTree |
drawTree | drawTree |
estTree | estTree |
ko.weights | ko.weights |
logEstimates | logEstimates |
makeTree | makeTree |
mmEstimate | mmEstimate |
Nhats | Nhats |
root.confInt | root.confInt |
sampleBeta | sampleBeta |
ss.confInts | ss.confInts |
ssEstimate | ssEstimate |
Simple Tree Data | treeData1 |
Larger Tree Data | treeData2 |
wmmTree | wmmTree |