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This presents a comprehensive set of tools for the analysis and visualization of drug formulation data. It includes functions for statistical analysis, regression modeling, hypothesis testing, and comparative analysis to assess the impact of formulation parameters on drug release and other critical attributes. Additionally, the package offers a variety of data visualization functions, such as scatterplots, histograms, and boxplots, to facilitate the interpretation of formulation data. With its focus on usability and efficiency, this package aims to streamline the drug formulation process and aid researchers in making informed decisions during formulation design and optimization.
Version: | 1.0.0 |
Depends: | dplyr, ggplot2 |
Imports: | utils, knitr |
Suggests: | rmarkdown |
Published: | 2024-03-20 |
DOI: | 10.32614/CRAN.package.FormulR |
Author: | Oche Ambrose George
|
Maintainer: | Oche Ambrose George <ocheab1 at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
CRAN checks: | FormulR results |
Reference manual: | FormulR.pdf |
Vignettes: |
vignette |
Package source: | FormulR_1.0.0.tar.gz |
Windows binaries: | r-devel: FormulR_1.0.0.zip, r-release: FormulR_1.0.0.zip, r-oldrel: FormulR_1.0.0.zip |
macOS binaries: | r-release (arm64): FormulR_1.0.0.tgz, r-oldrel (arm64): FormulR_1.0.0.tgz, r-release (x86_64): FormulR_1.0.0.tgz, r-oldrel (x86_64): FormulR_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=FormulR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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