Fit logistic functions to observed dose-response continuous data and evaluate goodness-of-fit measures. See Malyutina A., Tang J., and Pessia A. (2023) <doi:10.18637/jss.v106.i04>.
Version: | 2.0.4 |
Depends: | R (≥ 3.6.0) |
Imports: | graphics, grDevices, stats |
Suggests: | knitr, rmarkdown, spelling, testthat (≥ 3.1.0) |
Published: | 2024-08-21 |
DOI: | 10.32614/CRAN.package.drda |
Author: | Alberto Pessia |
Maintainer: | Alberto Pessia <dev at albertopessia.com> |
BugReports: | https://github.com/albertopessia/drda/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/albertopessia/drda |
NeedsCompilation: | no |
Language: | en-US |
Citation: | drda citation info |
Materials: | NEWS |
CRAN checks: | drda results |
Reference manual: | drda.pdf |
Vignettes: |
drda: An R package for dose-response data analysis using logistic functions (source, R code) |
Package source: | drda_2.0.4.tar.gz |
Windows binaries: | r-devel: drda_2.0.4.zip, r-release: drda_2.0.4.zip, r-oldrel: drda_2.0.4.zip |
macOS binaries: | r-release (arm64): drda_2.0.4.tgz, r-oldrel (arm64): drda_2.0.4.tgz, r-release (x86_64): drda_2.0.4.tgz, r-oldrel (x86_64): drda_2.0.4.tgz |
Old sources: | drda archive |
Please use the canonical form https://CRAN.R-project.org/package=drda to link to this page.