accelstab
This package utilises the Šesták–Berggren equation alongside the Arrhenius equation to make a simple and consistent way for a user to carry out the calculations and predictions required by accelerated stability studies.
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (16.0%) to scientific vocabulary
Keywords
arrhenius
kinetics
modelling
non-linear-model
pharmaceuticals
pharmacokinetics
sestak-berggren
stability
statistics
temperature
temperature-excursion
vaccine
Last synced: 6 months ago
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This package utilises the Šesták–Berggren equation alongside the Arrhenius equation to make a simple and consistent way for a user to carry out the calculations and predictions required by accelerated stability studies.
Basic Info
Statistics
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 5
- Releases: 7
Topics
arrhenius
kinetics
modelling
non-linear-model
pharmaceuticals
pharmacokinetics
sestak-berggren
stability
statistics
temperature
temperature-excursion
vaccine
Created over 2 years ago
· Last pushed 6 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%"
)
```
# Accelerated Stability Kinetic Modelling 
[](https://lifecycle.r-lib.org/articles/stages.html#stable)
[](https://cran.r-project.org/package=AccelStab)
## Overview
This package utilises the Šesták–Berggren equation alongside the Arrhenius equation to make a simple and consistent way for a user to carry out the calculations and predictions required by accelerated stability studies. Currently the package works with decreasing variables, you may choose to transform your increasing variable into a decreasing one but note that your choice of transformation can impact the outcome.
The available functions within the package are as follows:
- `step1_down()` Fit the one-step Šesták–Berggren kinetic model.
- `step1_down_basic()` Quickly fit the one-step Šesták–Berggren kinetic model.
- `step1_down_rmse()` Calculate Root Mean Square Error (RMSE) for the one-step Šesták–Berggren kinetic model.
- `excursion()` Predict a temperature excursion for a product.
- `step1_plot_CI()` Plot the stability data and visualise the predictions with confidence intervals.
- `step1_plot_desc()` Plot raw accelerated stability data.
- `step1_plot_diagnostic()` Generate residual diagnostic plots from a step1_down fit.
- `step1_plot_PI()` Plot the stability data and visualise the predictions with prediction intervals.
- `step1_plot_pred()` Plot the stability data and visualise the predictions.
- `step1_plot_T()` Plot the stability data and visualise the predictions with focus on one temperature.
- `step1_sample_mvt()` Take a selected number of samples from the multivariate t distribution (mvt).
## Installation
Install AccelStab the following way -
``` r
install.packages("AccelStab")
library(AccelStab)
```
## Feedback
Log an [issue](https://github.com/AccelStab/AccelStab/issues) here or contact a moderator.
Owner
- Login: AccelStab
- Kind: user
- Repositories: 1
- Profile: https://github.com/AccelStab
GitHub Events
Total
- Create event: 14
- Release event: 3
- Issues event: 26
- Delete event: 15
- Member event: 1
- Issue comment event: 15
- Push event: 93
- Pull request review event: 13
- Pull request review comment event: 4
- Pull request event: 32
Last Year
- Create event: 14
- Release event: 3
- Issues event: 26
- Delete event: 15
- Member event: 1
- Issue comment event: 15
- Push event: 93
- Pull request review event: 13
- Pull request review comment event: 4
- Pull request event: 32
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| BenWells0 | b****s@b****m | 33 |
| Bobidan97 | a****l@h****m | 21 |
| AccelStab | 1****b | 1 |
Committer Domains (Top 20 + Academic)
bayezian.com: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 30
- Total pull requests: 51
- Average time to close issues: 7 months
- Average time to close pull requests: 1 day
- Total issue authors: 4
- Total pull request authors: 4
- Average comments per issue: 0.33
- Average comments per pull request: 0.12
- Merged pull requests: 39
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 17
- Pull requests: 41
- Average time to close issues: about 1 month
- Average time to close pull requests: 2 days
- Issue authors: 4
- Pull request authors: 3
- Average comments per issue: 0.12
- Average comments per pull request: 0.15
- Merged pull requests: 32
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- BenWells0 (16)
- danielpwilliams137 (7)
- AccelStab (6)
- Bobidan97 (1)
Pull Request Authors
- danielpwilliams137 (32)
- AccelStab (8)
- BenWells0 (7)
- Bobidan97 (4)
Top Labels
Issue Labels
enhancement (6)
documentation (3)
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 371 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 10
- Total maintainers: 1
cran.r-project.org: AccelStab
Accelerated Stability Kinetic Modelling
- Homepage: https://github.com/AccelStab/AccelStab
- Documentation: http://cran.r-project.org/web/packages/AccelStab/AccelStab.pdf
- License: AGPL (≥ 3)
-
Latest release: 2.3.2
published 6 months ago
Rankings
Dependent packages count: 28.6%
Dependent repos count: 36.8%
Average: 50.5%
Downloads: 86.0%
Maintainers (1)
Last synced:
6 months ago
Dependencies
DESCRIPTION
cran
- R >= 4.1.0 depends
- dplyr * imports
- ggplot2 * imports
- minpack.lm * imports
- mvtnorm * imports
- stats * imports
- covr * suggests
- knitr * suggests
- rmarkdown * suggests
- testthat * suggests