Package: promotionImpact 0.1.3
Nahyun Kim
promotionImpact: Analysis & Measurement of Promotion Effectiveness
Analysis and measurement of promotion effectiveness on a given target variable (e.g. daily sales). After converting promotion schedule into dummy or smoothed predictor variables, the package estimates the effects of these variables controlled for trend/periodicity/structural change using prophet by Taylor and Letham (2017) <doi:10.7287/peerj.preprints.3190v2> and some prespecified variables (e.g. start of a month).
Authors:
promotionImpact_0.1.3.tar.gz
promotionImpact_0.1.3.zip(r-4.5)promotionImpact_0.1.3.zip(r-4.4)promotionImpact_0.1.3.zip(r-4.3)
promotionImpact_0.1.3.tgz(r-4.4-any)promotionImpact_0.1.3.tgz(r-4.3-any)
promotionImpact_0.1.3.tar.gz(r-4.5-noble)promotionImpact_0.1.3.tar.gz(r-4.4-noble)
promotionImpact_0.1.3.tgz(r-4.4-emscripten)promotionImpact_0.1.3.tgz(r-4.3-emscripten)
promotionImpact.pdf |promotionImpact.html✨
promotionImpact/json (API)
# Install 'promotionImpact' in R: |
install.packages('promotionImpact', repos = c('https://ncsoft.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ncsoft/promotionimpact/issues
- sim.data - Daily Total Sales
- sim.promotion - Promotion Schedule
- sim.promotion.sales - Daily Promotion Sales with Promotion information
Last updated 5 years agofrom:4cf10dae9e. Checks:OK: 1 ERROR: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 09 2024 |
R-4.5-win | ERROR | Nov 09 2024 |
R-4.5-linux | ERROR | Nov 09 2024 |
R-4.4-win | ERROR | Nov 09 2024 |
R-4.4-mac | ERROR | Nov 09 2024 |
R-4.3-win | ERROR | Nov 09 2024 |
R-4.3-mac | ERROR | Nov 09 2024 |
Exports:compareModelsdetectOutlierspromotionImpact
Dependencies:abindbackportsbase64encBHbootbroombslibcachemcallrcarcarDatacheckmateclicolorspacecorrplotcowplotcpp11crayondata.tableDerivdescdigestdistributionaldoBydplyrdygraphsevaluateextraDistrfansifarverfastmapfontawesomeFormulafsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetsinlineisobandjquerylibjsonliteKernSmoothknitrlabelinglatticelifecyclelme4lmtestloolubridatemagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgbuildpkgconfigplyrpolynomposteriorprocessxprophetpspurrrquantregQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelreshape2rlangrmarkdownrstanrstantoolsrstatixsandwichsassscalesSparseMStanHeadersstringistringrstrucchangesurvivaltensorAtibbletidyrtidyselecttimechangetinytexutf8vctrsviridisLitewithrxfunxtsyamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
compare several models | compareModels |
detect some outliers | detectOutliers |
estimate effectiveness of promotions | promotionImpact |
Daily Total Sales | sim.data |
Promotion Schedule | sim.promotion |
Daily Promotion Sales with Promotion information | sim.promotion.sales |