Introduction | The Sestak-Berggren model | Antigenicity | Visualisation | Model Fit | Predictions | Statistical Intervals and Visualisation | Temperature Excursion | Customised calculations from sampling in the multi-t | Zero order kinetic: Potency | Starting Values | Predictions and Statistical Intervals | Inverse Predictions
Package: AccelStab 2.3.2
Alex Ball
AccelStab: Accelerated Stability Kinetic Modelling
Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.
Authors:
AccelStab_2.3.2.tar.gz
AccelStab_2.3.2.zip(r-4.7)AccelStab_2.3.2.zip(r-4.6)AccelStab_2.3.2.zip(r-4.5)
AccelStab_2.3.2.tgz(r-4.6-any)AccelStab_2.3.2.tgz(r-4.5-any)
AccelStab_2.3.2.tar.gz(r-4.7-any)AccelStab_2.3.2.tar.gz(r-4.6-any)
AccelStab_2.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
AccelStab/json (API)
| # Install 'AccelStab' in R: |
| install.packages('AccelStab', repos = c('https://accelstab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/accelstab/accelstab/issues
Datasets:
- antigenicity - Antigenicity Accelerated Stability Data
- potency - Potency Accelerated Stability Data
arrheniuskineticsmodellingnon-linear-modelpharmaceuticalspharmacokineticssestak-berggrenstabilitystatisticstemperaturetemperature-excursionvaccine
Last updated from:64381dc84f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 134 | ||
| source / vignettes | OK | 227 | ||
| linux-release-x86_64 | OK | 153 | ||
| macos-release-arm64 | OK | 167 | ||
| macos-oldrel-arm64 | OK | 209 | ||
| windows-devel | OK | 131 | ||
| windows-release | OK | 123 | ||
| windows-oldrel | OK | 101 | ||
| wasm-release | OK | 99 |
Exports:excursionstep1_downstep1_down_basicstep1_down_rmsestep1_plot_CIstep1_plot_descstep1_plot_diagnosticstep1_plot_PIstep1_plot_predstep1_plot_Tstep1_sample_mvt
Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrminpack.lmpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Antigenicity Accelerated Stability Data | antigenicity |
| Temperature Excursion | excursion |
| Potency Accelerated Stability Data | potency |
| Step1 Down Model | step1_down |
| Basic version Step1 Down Model | step1_down_basic |
| Step1 Down Model Root Mean Square Error Calculation | step1_down_rmse |
| Plot Confidence Intervals | step1_plot_CI |
| Plot Stability Data | step1_plot_desc |
| Create Diagnostic Plots | step1_plot_diagnostic |
| Plot Prediction Intervals | step1_plot_PI |
| Plot Model Predictions | step1_plot_pred |
| Focus on Temperature | step1_plot_T |
| Sample the Multivariate t Distribution | step1_sample_mvt |
