Package: sspse 1.1.0-2

sspse: Estimating Hidden Population Size using Respondent Driven Sampling Data

Estimate the size of a networked population based on respondent-driven sampling data. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Handcock, Gile and Mar (2014) <doi:10.1214/14-EJS923>, Handcock, Gile and Mar (2015) <doi:10.1111/biom.12255>, Kim and Handcock (2021) <doi:10.1093/jssam/smz055>, and McLaughlin, et. al. (2023) <doi:10.1214/23-AOAS1807>.

Authors:Mark S. Handcock [aut, cre, cph], Krista J. Gile [aut, cph], Brian Kim [ctb], Katherine R. McLaughlin [ctb]

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sspse.pdf |sspse.html✨
sspse/json (API)

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

Peer review:

Datasets:
  • fauxmadrona2 - A Pair of Simulated RDS Data Sets with no seed dependency

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.86 score 18 scripts 303 downloads 2 mentions 5 exports 89 dependencies

Last updated 3 months agofrom:03693cbff8. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:dsizepriorimpute.visibilityposize_warningpospreddegposteriorsize

Dependencies:anytimebackportsbase64encBHbslibcachemcheckmatecliclustercodacolorspacecpp11data.tableDEoptimRdigestergmevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandisotonejquerylibjsonliteKernSmoothknitrlabelinglatticelifecyclelpSolveAPImagrittrMASSMatrixmemoisemgcvmimemunsellnetworknlmennetnnlspillarpkgconfigplyrpurrrR6rappdirsrbibutilsRColorBrewerRcppRdpackRDSreshape2rlangrlermarkdownrobustbaserpartrstudioapisassscalesscamstatnet.commonstringistringrtibbletinytextrustutf8vctrsviridisviridisLitewithrxfunyaml