drda-package {drda} | R Documentation |

## 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.

### 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

*drda*version 2.0.3 Index]