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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# clinfun
<!-- badges: start -->
[![R-CMD-check](https://github.com/veseshan/clinfun/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/veseshan/clinfun/actions/workflows/R-CMD-check.yaml)
[![CRAN status](https://www.r-pkg.org/badges/version/clinfun)](https://CRAN.R-project.org/package=clinfun)
<!-- badges: end -->
Utilities to make your clinical collaborations easier if not fun. It contains functions for designing studies such as Simon 2-stage and group sequential designs and for data analysis such as Jonckheere-Terpstra test and estimating survival quantiles.
## Installation
You can install the released version of clinfun from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("clinfun")
```
And the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("veseshan/clinfun")
```
## Example
Here is a basic example which shows how calculate CPS and Fisher's exact sample sizes with power estimates for given response rates of standard and experiment groups.
```{r example}
library(clinfun)
fe.ssize(p1 = .8,
p2 = .2,
alpha=0.05,
power=0.8)
```