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

[Package

*drda* version 2.0.3

Index]