README.md
In InnovationValueInitiative/IVI-NSCLC: The IVI-NSCLC model
IVI-NSCLC
iviNSCLC is an R package that runs the Innovation and Value Initiative's (IVI's) non-small cell lung cancer (NSCLC) simulation model (the IVI-NSCLC model). The model simulates the costs, health outcomes, and risks associated with sequences of treatment including EGFR Tyrosine Kinase Inhibitors (TKIs), platinum-based doublet chemotherapy (PBDC), anti–vascular endothelial growth factor (anti-VEGF) therapy, and immune checkpoint inhibitors for patients with epidermal growth factor receptor (EGFR) positive NSCLC.
Installation
# Install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("InnovationValueInitiative/IVI-NSCLC")
File structure
The components of the package iviNSCLC are distributed in eight directories:
1. R: contains all R related code for simulating disease progression, costs, and QALYs. The code relies heavily on the hesim package.
2. data-raw: Contains R scripts to generate tables used in the package which are saved into data. The input used in the NMA are included in the subdrectory mstate-nma-data. The output of the NMA is stored in the subdirectory mstate-nma.
3. data: Contains tables created by the R scripts in data-raw. These are the parameter estimates that load with the package and can be viewed with data(package = "iviNSCLC").
4. docs: Articles, references, and author information are stored here.
5. man: Manual and general documentation.
6. pkgdown: The package website.
7. tests: Unit tests for the package.
8. vignettes: Files for the package tutorial.
InnovationValueInitiative/IVI-NSCLC documentation built on July 25, 2019, 8:03 p.m.
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IVI-NSCLC
iviNSCLC is an R package that runs the Innovation and Value Initiative's (IVI's) non-small cell lung cancer (NSCLC) simulation model (the IVI-NSCLC model). The model simulates the costs, health outcomes, and risks associated with sequences of treatment including EGFR Tyrosine Kinase Inhibitors (TKIs), platinum-based doublet chemotherapy (PBDC), anti–vascular endothelial growth factor (anti-VEGF) therapy, and immune checkpoint inhibitors for patients with epidermal growth factor receptor (EGFR) positive NSCLC.
Installation
# Install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("InnovationValueInitiative/IVI-NSCLC")
File structure
The components of the package iviNSCLC are distributed in eight directories:
1. R: contains all R related code for simulating disease progression, costs, and QALYs. The code relies heavily on the hesim package.
2. data-raw: Contains R scripts to generate tables used in the package which are saved into data. The input used in the NMA are included in the subdrectory mstate-nma-data. The output of the NMA is stored in the subdirectory mstate-nma.
3. data: Contains tables created by the R scripts in data-raw. These are the parameter estimates that load with the package and can be viewed with data(package = "iviNSCLC").
4. docs: Articles, references, and author information are stored here.
5. man: Manual and general documentation.
6. pkgdown: The package website.
7. tests: Unit tests for the package.
8. vignettes: Files for the package tutorial.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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