-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathREADME.Rmd
56 lines (39 loc) · 3.71 KB
/
README.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
---
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%"
)
```
# SimTOST <img src="man/figures/logo.png" align="right" height="116" alt="" />
<!-- badges: start -->
[](https://github.com/smartdata-analysis-and-statistics/SimTOST/actions/workflows/R-CMD-check.yml)
[](https://CRAN.R-project.org/package=SimTOST)
[](https://app.codecov.io/gh/smartdata-analysis-and-statistics/SimTOST?branch=main)
<!-- badges: end -->
`SimTOST` is an R package specifically designed for bioequivalence studies, providing simulation-based sample size estimation for the Two One-Sided Tests (TOST) procedure. It offers flexible options to handle complex study designs, including trials with multiple correlated primary endpoints, multiple hypotheses, and treatment arms. By incorporating correlations between endpoints, `SimTOST` ensures accurate and robust planning of bioequivalence trials, making it a powerful tool for studies with intricate requirements.
## Installation
`SimTOST` is available on CRAN and can be installed by running the following code.
``` r
install.packages("SimTOST")
```
You can also install the development version of SimTOST from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("smartdata-analysis-and-statistics/SimTOST")
```
## Vignettes
The main features of this package is `sampleSize` function which can be used to calculate sample size for individual and multiple endpoints. Various worked examples are available as [vignettes](https://smartdata-analysis-and-statistics.github.io/SimTOST), with an introduction provided at [Introduction](https://smartdata-analysis-and-statistics.github.io/SimTOST/articles/intropkg.html).
| **Vignette** | **Design** | **Number of Arms** | **Number of Endpoints** |
|------------------------------------------------|--------------|---------------------|--------------------------|
| [Bioequivalence Tests for Parallel Trial Designs with Log-Normal Data](https://smartdata-analysis-and-statistics.github.io/SimTOST/articles/sampleSize_parallel.html) | Parallel | 2 | Multiple (e.g., 2 or 3) |
| [Bioequivalence Tests for 2x2 Cross-Over Trial Designs with Log-Normal Data](https://smartdata-analysis-and-statistics.github.io/SimTOST/articles/sampleSize_crossover.html) | Cross-over | 2 | 2 |
| [Bioequivalence Tests for Parallel Trial Designs: 2 Arms, 1 Endpoint](https://smartdata-analysis-and-statistics.github.io/SimTOST/articles/sampleSize_parallel_2A1E.html) | Parallel | 2 | 1 |
| [Bioequivalence Tests for Parallel Trial Designs: 3 Arms, 1 Endpoint](https://smartdata-analysis-and-statistics.github.io/SimTOST/articles/sampleSize_parallel_3A1E.html) | Parallel | 3 | 1 |
| [Bioequivalence Tests for Parallel Trial Designs: 2 Arms, 3 Endpoints](https://smartdata-analysis-and-statistics.github.io/SimTOST/articles/sampleSize_parallel_2A3E.html) | Parallel | 2 | 3 |
| [Bioequivalence Tests for Parallel Trial Designs: 3 Arms, 3 Endpoints](https://smartdata-analysis-and-statistics.github.io/SimTOST/articles/sampleSize_parallel_3A3E.html) | Parallel | 3 | 3 |