dynamicpv: Evaluates Present Values and Health Economic Models with Dynamic Pricing and Uptake

The goal of 'dynamicpv' is to provide a simple way to calculate (net) present values and outputs from health economic models (especially cost-effectiveness and budget impact) in discrete time that reflect dynamic pricing and dynamic uptake. Dynamic pricing is also known as life cycle pricing; dynamic uptake is also known as multiple or stacked cohorts, or dynamic disease prevalence. Shafrin (2024) <doi:10.1515/fhep-2024-0014> provides an explanation of dynamic value elements, in the context of Generalized Cost Effectiveness Analysis, and Puls (2024) <doi:10.1016/j.jval.2024.03.006> reviews challenges of incorporating such dynamic value elements. This package aims to reduce those challenges.

Package details

AuthorDominic Muston [aut, cre] (ORCID: <https://orcid.org/0000-0003-4876-7940>), John Blischak [ctb] (ORCID: <https://orcid.org/0000-0003-2634-9879>), Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph, fnd]
MaintainerDominic Muston <dominic.muston@msd.com>
LicenseGPL (>= 3)
Version0.4.1
URL https://MSDLLCpapers.github.io/dynamicpv/ https://github.com/MSDLLCpapers/dynamicpv
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("dynamicpv")

Try the dynamicpv package in your browser

Any scripts or data that you put into this service are public.

dynamicpv documentation built on Jan. 16, 2026, 1:07 a.m.