77
88[ ![ Lifecycle:
99experimental] ( https://img.shields.io/badge/lifecycle-experimental-orange.svg )] ( https://lifecycle.r-lib.org/articles/stages.html#experimental )
10- [ ![ R-CMD-check] ( https://github.com/MSDLLCpapers/dynacem /actions/workflows/R-CMD-check.yaml/badge.svg )] ( https://github.com/MSDLLCpapers/dynacem /actions/workflows/R-CMD-check.yaml )
10+ [ ![ R-CMD-check] ( https://github.com/MSDLLCpapers/dynamicpv /actions/workflows/R-CMD-check.yaml/badge.svg )] ( https://github.com/MSDLLCpapers/dynamicpv /actions/workflows/R-CMD-check.yaml )
1111[ ![ Codecov test
12- coverage] ( https://codecov.io/gh/MSDLLCpapers/dynacem /graph/badge.svg )] ( https://app.codecov.io/gh/MSDLLCpapers/dynacem )
12+ coverage] ( https://codecov.io/gh/MSDLLCpapers/dynamicpv /graph/badge.svg )] ( https://app.codecov.io/gh/MSDLLCpapers/dynamicpv )
1313<!-- badges: end -->
1414
1515The goal of * dynamicpv* is to evaluate present values and
1616cost-effectiveness with dynamic pricing and uptake.
1717
1818Through the
19- [ dynpv()] ( https://msdllcpapers.github.io/dynacem /reference/dynpv.html )
19+ [ dynpv()] ( https://msdllcpapers.github.io/dynamicpv /reference/dynpv.html )
2020function, the package provides calculations of the present values of
2121costs, life years, QALYs or other payoffs allowing for dynamic uptake
2222(also known as multiple cohorts) and dynamic pricing (also known as
@@ -35,16 +35,16 @@ intent.)
3535# Install devtools package if not already installed
3636install.packages(" devtools" )
3737
38- # Install dynamicpv using pak, from MSD's dynacem repository
39- pak :: pak(" MSDLLCpapers/dynacem " )
38+ # Install dynamicpv using pak from MSD repository
39+ pak :: pak(" MSDLLCpapers/dynamicpv " )
4040```
4141
4242Note that the above does not install vignettes. Vignettes may be viewed
4343on the [ package website] ( https://msdllcpapers.github.io/dynacem ) or by
4444instead running the following.
4545
4646``` r
47- devtools :: install_github(" MSDLLCpapers/dynacem " , build_vignettes = TRUE )
47+ devtools :: install_github(" MSDLLCpapers/dynamicpv " , build_vignettes = TRUE )
4848```
4949
5050You should then load the package, alongside some other packages used
@@ -66,21 +66,21 @@ library(tidyr)
6666There are four vignettes provided.
6767
68681 . The [ Dynamic
69- Pricing] ( https://msdllcpapers.github.io/dynacem /articles/dynamic-pricing.html )
69+ Pricing] ( https://msdllcpapers.github.io/dynamicpv /articles/dynamic-pricing.html )
7070 vignette (` vignette("dynamic-pricing") ` ) describes how present
7171 values may be calculated in the package from a payoff vector,
7272 allowing for the prices of the resources costed to be dynamic.
7373
74742 . The [ Dynamic
75- Uptake] ( https://msdllcpapers.github.io/dynacem /articles/dynamic-uptake.html )
75+ Uptake] ( https://msdllcpapers.github.io/dynamicpv /articles/dynamic-uptake.html )
7676 vignette (` vignette("dynamic-uptake") ` ) explores further how present
7777 values can be derived allowing for dynamic uptake. This is in
7878 contrast to the non-dynamic approach of calculating a present value
7979 for a single cohort of patients. This is analogous to the use by
8080 general insurance actuaries of run-off triangles.
8181
82823 . The [ Cost-Effectiveness
83- Applications] ( https://msdllcpapers.github.io/dynacem /articles/cost-effectiveness-applications.html )
83+ Applications] ( https://msdllcpapers.github.io/dynamicpv /articles/cost-effectiveness-applications.html )
8484 (` vignette(cost-effectiveness-applications") ` ) vignette describes
8585 how, given a static cost-effectiveness model (single cohort, prices
8686 constant in real terms), Incremental Cost-Effectiveness Ratios may
@@ -93,7 +93,7 @@ There are four vignettes provided.
9393 exclusivity points for each intervention.
9494
95954 . The [ Budget Impact
96- Applications] ( https://msdllcpapers.github.io/dynacem /articles/budget-impact-applications.html )
96+ Applications] ( https://msdllcpapers.github.io/dynamicpv /articles/budget-impact-applications.html )
9797 (` vignette("budget-impact-applications") ` ) vignette describes how,
9898 given a static cost-effectiveness model (single cohort, prices
9999 constant in real terms) and dynamic uptake, a budget impact can be
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