Package: SimRDS 2.0.0

Ayesha Perera

SimRDS: Simulation of Respondent Driven Samples

Simulate populations with desired properties and extract respondent driven samples. To better understand the usage of the package and the algorithm used, please refer to Perera, A., and Ramanayake, A. (2019) <https://www.aimr.tirdiconference.com/assets/images/portfolio/Conference-Proceeding-AIMR-19.pdf>.

Authors:Ayesha Perera [aut, cre]

SimRDS_2.0.0.tar.gz
SimRDS_2.0.0.tar.gz(r-4.5-noble)SimRDS_2.0.0.tar.gz(r-4.4-noble)
SimRDS_2.0.0.tgz(r-4.4-emscripten)SimRDS_2.0.0.tgz(r-4.3-emscripten)
SimRDS.pdf |SimRDS.html
SimRDS/json (API)
NEWS

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

Peer review:

Datasets:
  • RDS.population - The list that specifies the output of the 'population' function.
  • RDS.samplingEx - The dataframe that specifies the output of the 'samplingEx' function.
  • RDS.samplingP - The dataframe that specifies the output of the 'samplingP' function.

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

2.00 score 2 downloads 3 exports 90 dependencies

Last updated 13 days agofrom:202d957b2d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-linuxOKNov 09 2024

Exports:populationsamplingExsamplingP

Dependencies:anytimebackportsbase64encBHbslibcachemcheckmateclasscliclustercodacolorspacecpp11data.tableDEoptimRdigeste1071ergmevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandisotonejquerylibjsonliteknitrlabelinglatticelifecyclelpSolveAPImagrittrMASSMatrixmemoisemgcvmimemunsellnetworknlmennetnnlspillarpkgconfigplyrproxypurrrR6rappdirsrbibutilsRColorBrewerRcppRdpackRDSreshape2rlangrlermarkdownrobustbaserpartrstudioapisassscalesstatnet.commonstringistringrtibbletinytextrustutf8vctrsviridisviridisLitewithrxfunyaml

SimRDS Package

Rendered fromdescription.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2024-11-08
Started: 2024-11-08