Package: mediaPlanR 2.0.0
mediaPlanR: Reach and Exposure-Distribution Models for Media Planning
Reproducible implementations of reach and exposure-frequency models for media planning. Provides exact reach and exposure distributions under random duplication (Sainsbury and Binomial models); the Beta-Binomial accumulation model and its multi-vehicle version of Metheringham (1964) <doi:10.1080/00218499.1964.12519751>; the ad hoc duplication and accumulation formulas of Agostini (1961) <doi:10.1080/00218499.1961.12519620> and Hofmans (1966) <doi:10.1177/002224376600300307>; and the multivariate exposure distribution models of Danaher (1991) <doi:10.1177/002224379102800311> (canonical expansion), Leckenby and Rice (1986) <doi:10.1080/00913367.1986.10673014> (Morgensztern sequential aggregation), Hyo Gyoo Kim (2005, doctoral dissertation, University of Texas at Austin) (canonical sequential aggregation), Heejin Kim (1994, doctoral dissertation, University of Texas at Austin) (conditional Beta distribution), and Cheong (2007, doctoral dissertation, University of Texas at Austin) and Cheong, Leckenby and Eakin (2011) <doi:10.2753/JOA0091-3367400101> (multivariate Beta-Binomial). The three dissertations have no DOI; their complete references are in the help pages. Also includes an explicitly scoped Negative-Binomial count approximation, the fitting of the Beta-Binomial model to an observed reach, and the evaluation of predicted exposure distributions against observed ones.
Authors:
mediaPlanR_2.0.0.tar.gz
mediaPlanR_2.0.0.zip(r-4.7-any)mediaPlanR_2.0.0.zip(r-4.6-any)mediaPlanR_2.0.0.zip(r-4.5-any)
mediaPlanR_2.0.0.tgz(r-4.6-any)mediaPlanR_2.0.0.tgz(r-4.5-any)
mediaPlanR_2.0.0.tar.gz(r-4.7-any)mediaPlanR_2.0.0.tar.gz(r-4.6-any)
mediaPlanR_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mediaPlanR/json (API)
| # Install 'mediaPlanR' in R: |
| install.packages('mediaPlanR', repos = c('https://majesus.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/majesus/mediaplanr/issues
- bbd_reach_example - Illustrative inputs for fitting a Beta-Binomial to an external reach
- beta_binomial_example - Illustrative inputs for the Beta-Binomial model
- canex_example - Illustrative inputs for the CANEX model
- csd_example - Illustrative inputs for the CSD model
- duplication_example - Illustrative inputs for the Agostini and Hofmans duplication models
- hofmans_accumulation_example - Illustrative inputs for the Hofmans accumulation model
- mbd_example - Illustrative inputs for the MBD model
- metheringham_example - Illustrative inputs for the Metheringham model
- msad_example - Illustrative inputs for the MSAD model
- ratings_example - Illustrative inputs for the Sainsbury and Binomial models
Last updated from:87e07d2d07. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 122 | ||
| source / vignettes | OK | 180 | ||
| linux-release | OK | 164 | ||
| macos-release | OK | 264 | ||
| macos-oldrel | OK | 219 | ||
| windows-devel | OK | 235 | ||
| windows-release | OK | 233 | ||
| windows-oldrel | OK | 198 | ||
| wasm-release | OK | 83 |
Exports:calc_agostini_duplicationcalc_beta_binomialcalc_binomialcalc_canexcalc_cbdcalc_csdcalc_hofmans_accumulationcalc_hofmans_duplicationcalc_mbdcalc_metheringhamcalc_msadcalc_sainsburycalibrate_bbdevaluate_exposure_modelfit_bbd_to_reachfit_nbd_exposurenbd_exposure_distribution
Dependencies:
