Introduction to mediaPlanR
What mediaPlanR provides | Units and the models of random duplication | The family of reach and exposure-distribution models | What the models assume | Example: three vehicles, one insertion each, different assumptions | From a reach to a distribution: Hofmans Beta-Binomial (HBBD) | Several insertions per vehicle: Metheringham | One vehicle, several insertions: Beta-Binomial and Hofmans | Beta-Binomial versus Negative-Binomial: finite opportunities and count processes | CANEX: heterogeneity and jointly observed duplication | CSD and MSAD: two reach estimators, one sequential architecture | MSAD: Morgensztern's sequential aggregation | Validation against observed data | MBD: the multivariate Beta-Binomial model | CBD: the conditional Beta distribution | Example datasets | Domain of validity of the multivariate models | Scope | References