simtost

SimTOST is an R package designed to facilitate the sample size estimation for bioequivalence studies using a simulation-based approach.

https://github.com/smartdata-analysis-and-statistics/simtost

Science Score: 26.0%

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    Low similarity (19.2%) to scientific vocabulary

Keywords

mcmc multi-arm multiple-comparisons r-package sample-size-calculation sample-size-estimation trial-simulation
Last synced: 6 months ago · JSON representation

Repository

SimTOST is an R package designed to facilitate the sample size estimation for bioequivalence studies using a simulation-based approach.

Basic Info
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 1
  • Open Issues: 1
  • Releases: 1
Topics
mcmc multi-arm multiple-comparisons r-package sample-size-calculation sample-size-estimation trial-simulation
Created over 1 year ago · Last pushed 8 months ago
Metadata Files
Readme Changelog License

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# SimTOST 


[![R-CMD-check](https://github.com/smartdata-analysis-and-statistics/SimTOST/actions/workflows/R-CMD-check.yml/badge.svg)](https://github.com/smartdata-analysis-and-statistics/SimTOST/actions/workflows/R-CMD-check.yml)
[![CRAN status](https://www.r-pkg.org/badges/version/SimTOST)](https://CRAN.R-project.org/package=SimTOST)
[![metacran downloads](https://cranlogs.r-pkg.org/badges/last-month/SimTOST)](https://cran.r-project.org/package=SimTOST)


`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 |



Owner

  • Name: Smart Data Analysis and Statistics
  • Login: smartdata-analysis-and-statistics
  • Kind: organization
  • Location: Netherlands

GitHub Events

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Last Year
  • Create event: 2
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  • Issues event: 4
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  • Push event: 192

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 2
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  • Average time to close issues: 28 days
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  • Average comments per issue: 0.5
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Past Year
  • Issues: 2
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  • Average time to close issues: 28 days
  • Average time to close pull requests: N/A
  • Issue authors: 1
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  • Average comments per issue: 0.5
  • Average comments per pull request: 0
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Top Authors
Issue Authors
  • NightlordTW (2)
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Top Labels
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question (1)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 239 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: SimTOST

Sample Size Estimation for Bio-Equivalence Trials Through Simulation

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 239 Last month
Rankings
Dependent packages count: 27.2%
Dependent repos count: 33.5%
Average: 49.2%
Downloads: 87.0%
Last synced: 6 months ago

Dependencies

.github/workflows/R-CMD-check.yml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action 4.1.4 composite
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran
  • MASS * imports
  • Rcpp >= 1.0.13 imports
  • data.table * imports
  • matrixcalc * imports
  • parallel * imports
  • PowerTOST * suggests
  • ggplot2 * suggests
  • kableExtra * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests
  • tibble * suggests
  • tinytest * suggests