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README.Rmd
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README.Rmd
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---
output:
md_document:
variant: gfm
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
<!-- badges: start -->
[](https://cran.r-project.org/package=rpact)
[](https://github.com/rpact-com/rpact/actions/workflows/R-CMD-check.yaml)
[](https://CRAN.R-project.org/package=rpact)
[](https://CRAN.R-project.org/package=rpact)
[](https://lifecycle.r-lib.org/articles/stages.html#stable)
[](https://www.gnu.org/licenses/lgpl-3.0)
[](https://app.codecov.io/gh/rpact-com/rpact?branch=main)
[](https://doi.org/10.1007/978-3-319-32562-0)
[](https://rpact.shinyapps.io/public)
[](https://rpact.shinyapps.io/cloud)
<!-- badges: end -->
# rpact <a href="https://www.rpact.com"><img src="man/figures/logo.png" align="right" height="138" /></a>
Confirmatory Adaptive Clinical Trial Design, Simulation, and Analysis.
## Functional Range
* Fixed sample design and designs with interim analysis stages
* Sample size and power calculation for
+ means (continuous endpoint)
+ rates (binary endpoint)
+ survival trials with flexible recruitment and survival time options
+ count data
* Simulation tool for means, rates, survival data, and count data
+ Assessment of adaptive sample size/event number recalculations based on
conditional power
+ Assessment of treatment selection strategies in multi-arm trials
* Adaptive analysis of means, rates, and survival data
* Adaptive designs and analysis for multi-arm trials
* Adaptive analysis and simulation tools for enrichment design testing means,
rates, and hazard ratios
* Automatic boundary recalculations during the trial for analysis with alpha
spending approach, including under- and over-running
## Installation
Install the latest CRAN release via
```{r installation_cran, eval=FALSE, include=TRUE, echo=TRUE, results='hide'}
install.packages("rpact")
```
### Development version
To use a feature from the development version, you can
install the development version of rpact from
[GitHub](https://github.com/rpact-com/rpact).
```{r installation_github, eval=FALSE, include=TRUE, echo=TRUE, results='hide'}
# install.packages("pak")
pak::pak("rpact-com/rpact")
```
## Documentation
The documentation is hosted at [www.rpact.org](https://www.rpact.org)
## Vignettes
The vignettes are hosted at
[www.rpact.org/vignettes](https://www.rpact.org/vignettes/)
## The rpact user group
The *rpact project* has an active user group consisting of decision-makers and
users from the pharmaceutical industry and CROs, who meet regularly
and, e.g., discuss best practices.
We invite you to be part of the *rpact user group*: benefit from know-how, shape
open source development in Pharma!
## Use on corporate computer systems
Please [contact](https://www.rpact.com/contact) us to learn how to use `rpact`
on FDA/GxP-compliant validated corporate computer systems and how to get a copy
of the formal validation documentation that is customized and licensed for
exclusive use by your company, e.g., to fulfill regulatory requirements.
The validation documentation contains the personal access data for performing
the installation qualification with `testPackage()`.
> [www.rpact.com/contact](https://www.rpact.com/contact)
# About
* **rpact** is a comprehensive validated^[The rpact validation documentation is
available exclusively for our customers and supporting members. For more
information visit
[www.rpact.com/services/sla](https://www.rpact.com/services/sla)] R package
for clinical research which
+ enables the design and analysis of confirmatory adaptive group sequential
designs
+ is a powerful sample size calculator
+ is a free of charge open-source software licensed under
[LGPL-3](https://cran.r-project.org/web/licenses/LGPL-3)
+ particularly, implements the methods described in the recent monograph by
[Wassmer and Brannath (2016)](https://doi.org/10.1007%2F978-3-319-32562-0)
> For more information please visit [www.rpact.org](https://www.rpact.org)
* **RPACT** is a company which offers
+ enterprise R/Shiny software development services
+ technical support for the
[rpact](https://cran.r-project.org/package=rpact) package
+ consultancy and user training for scientists using R
+ validated software solutions and R package development for clinical
research
> For more information please visit [www.rpact.com](https://www.rpact.com)