Package: fitPS 1.0.2
fitPS: Fit Zeta Distributions to Forensic Data
Fits Zeta distributions (discrete power laws) to data that arises from forensic surveys of clothing on the presence of glass and paint in various populations. The general method is described to some extent in Coulson, S.A., Buckleton, J.S., Gummer, A.B., and Triggs, C.M. (2001) <doi:10.1016/S1355-0306(01)71847-3>, although the implementation differs.
Authors:
fitPS_1.0.2.tar.gz
fitPS_1.0.2.zip(r-4.5)fitPS_1.0.2.zip(r-4.4)fitPS_1.0.2.zip(r-4.3)
fitPS_1.0.2.tgz(r-4.4-any)fitPS_1.0.2.tgz(r-4.3-any)
fitPS_1.0.2.tar.gz(r-4.5-noble)fitPS_1.0.2.tar.gz(r-4.4-noble)
fitPS_1.0.2.tgz(r-4.4-emscripten)fitPS_1.0.2.tgz(r-4.3-emscripten)
fitPS.pdf |fitPS.html✨
fitPS/json (API)
# Install 'fitPS' in R: |
install.packages('fitPS', repos = c('https://jmcurran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jmcurran/fitps/issues
Last updated 8 months agofrom:c074250d30. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:addbootCIcompareSurveyscompareSurveysLRTcreatePSDatafitDistfitlogdistfitlogDistfitLogdistfitzidistfitZIdistfitZIDistmakeDatamakePSDataprobfunreadDatarzetarzizetarZIzetavar
Dependencies:backportsbase64encbslibcachemcellrangercheckmatecliclustercodetoolscolorspacecpp11crayondata.tabledigestdoParalleldplyrevaluatefansifarverfastmapFNNfontawesomeforeachforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischmshtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclemagrittrMASSMatrixmclustmemoisemgcvmimemulticoolmunsellmvtnormnlmennetpbapplypillarpkgconfigpracmaprettyunitsprogressR6rappdirsrbibutilsRColorBrewerRcppRdpackreadxlrematchrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletidyselecttinytexutf8vctrsVGAMviridisviridisLitewithrxfunyaml