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Package: descem 0.1.2

Valerie Aponte Ribero

descem: Discrete Event Simulation for Cost-Effectiveness Modelling

A package designed to perform discrete event simulation for cost-effectiveness modelling.

Authors:Valerie Aponte Ribero [aut, cre], Javier Sanchez Alvarez [aut], F. Hoffmann La Roche Ltd [cph]

descem_0.1.2.tar.gz
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descem.pdf |descem.html✨
descem/json (API)

# Install 'descem' in R:

install.packages('descem', repos = c('https://pharmaverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/roche/descem/issues

On CRAN:

health-economic-evaluation health-economics hta survival-analysis

2.18 score 3 stars 6 scripts 18 exports 26 dependencies

Last updated 2 years agofrom:12da8ab494. Checks:ERROR: 1 WARNING: 6. Indexed: no.

Target	Result	Date
Doc / Vignettes	FAIL	Dec 08 2024
R-4.5-win	WARNING	Dec 08 2024
R-4.5-linux	WARNING	Dec 08 2024
R-4.4-win	WARNING	Dec 08 2024
R-4.4-mac	WARNING	Dec 08 2024
R-4.3-win	WARNING	Dec 08 2024
R-4.3-mac	WARNING	Dec 08 2024

Exports:add_cost add_item add_reactevt add_tte add_util ceac_des draw_beta draw_gamma draw_resgompertz draw_tte evpi_des extract_psa_result modify_event modify_item new_event RunSim summary_results_det summary_results_psa

Dependencies:cli codetools cpp11 data.table doParallel dplyr fansi foreach generics glue iterators lifecycle magrittr pillar pkgconfig purrr R6 rlang stringi stringr tibble tidyr tidyselect utf8 vctrs withr

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Defining costs for events and intervention	add_cost
Defining parameters that may be used in model calculations	add_item
Define the modifications to other events, costs, utilities, or other items affected by the occurrence of the event	add_reactevt
Define events and the initial event time	add_tte
Defining utilities for events and interventions	add_util
Calculate the cost-effectiveness acceptability curve (CEAC) for a DES model with a PSA result	ceac_des
Draw from a beta distribution based on mean and se	draw_beta
Draw from a gamma distribution based on mean and se	draw_gamma
Draw from a restricted Gompertz distribution	draw_resgompertz
Draw a time to event from a list of parametric survival functions	draw_tte
Calculate the Expected Value of Perfect Information (EVPI) for a DES model with a PSA result	evpi_des
Extract PSA results from a treatment	extract_psa_result
Modify the time of existing events	modify_event
Modify the value of existing items	modify_item
Generate new events to be added to existing vector of events	new_event
Run the simulation	RunSim
Deterministic results for a specific treatment	summary_results_det
Summary of PSA outputs for a treatment	summary_results_psa