drda-package: Dose-response data analysis

In drda: Dose-Response Data Analysis

Dose-response data analysis

Description

drda is a package for fitting (log-)logistic curves and performing dose-response data analysis.

Available functions

Functions specific to drda:

• drda: main function for fitting observed data.

• logistic2_fn: 2-parameter logistic function.

• logistic4_fn: 4-parameter logistic function.

• logistic5_fn: 5-parameter logistic function.

• logistic6_fn: 6-parameter logistic function.

• gompertz_fn: Gompertz function.

• loglogistic2_fn: 2-parameter log-logistic function.

• loglogistic4_fn: 4-parameter log-logistic function.

• loglogistic5_fn: 5-parameter log-logistic function.

• loglogistic6_fn: 6-parameter log-logistic function.

• loggompertz_fn: log-Gompertz function.

• nauc: normalized area under the curve.

• naac: normalized area above the curve.

Functions expected for an object fit:

• anova: compare model fits.

• deviance: residual sum of squares of the model fit.

• logLik: value of the log-likelihood function associated to the model fit.

• plot: plotting function.

• predict: model predictions.

• print: basic model summaries.

• residuals: model residuals.

• sigma: residual standard deviation.

• summary: fit summaries.

• vcov: approximate variance-covariance matrix of model parameters.

• weights: model weights.

Author(s)

Maintainer: Alberto Pessia [e-mail] (ORCID)

Other contributors:

• Alina Malyutina (ORCID) [contributor]

References

Malyutina A, Tang J, Pessia A (2023). drda: An R package for dose-response data analysis using logistic functions. Journal of Statistical Software, 106(4), 1-26. doi:10.18637/jss.v106.i04

See Also

Useful links:

• https://github.com/albertopessia/drda

• Report bugs at https://github.com/albertopessia/drda/issues

drda documentation built on April 3, 2025, 6 p.m.