Decision-Analytic Modelling for Depression Prevention and Treatment

Provides functions and example datasets to run a decision-analytic model for prevention and treatment strategies across depression severity states (sub-clinical, mild, moderate, severe, and recurrent). The package supports scenario analyses (base and alternative inputs) and summarises outcomes such as coverage, adherence, effect sizes, and healthcare costs.


DepMod

DepMod is an R package for modelling depression interventions using a health-economic simulation framework.

The package provides:

  • A full simulation model implemented in R
  • A Shiny application to run and explore the model interactively

The model supports evaluation of interventions for:

  • Prevention of sub-clinical depression
  • Treatment of mild, moderate, and severe depression
  • Prevention of recurrent depression

Installation

You can install the development version of DepMod from GitHub with:

# install.packages("remotes")
remotes::install_github("yourusername/DepMod")

Reference manual

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install.packages("DepMod")

0.1.0 by Stijn Peeters, 8 months ago


Browse source code at https://github.com/cran/DepMod


Authors: Stijn Peeters [aut, cre] (ORCID: , Frederick Thielen [aut] (ORCID: , Ben Wijnen [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports shiny, stats, utils, DT, DiagrammeR, tidyverse, bslib, here

Suggests testthat


See at CRAN