Package: drda 2.0.4

Alberto Pessia

drda: Dose-Response Data Analysis

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>.

Authors:Alberto Pessia [aut, cre], Alina Malyutina [ctb]

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NEWS

# Install 'drda' in R:
install.packages('drda', repos = c('https://albertopessia.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/albertopessia/drda/issues

Datasets:
  • voropm2 - Vorinostat in OPM-2 cell-line dataset

On CRAN:

dose-responselogistic-function

5.27 score 11 stars 17 scripts 389 downloads 74 exports 0 dependencies

Last updated 3 months agofrom:10856c64d2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winOKNov 18 2024
R-4.5-linuxOKNov 18 2024
R-4.4-winOKNov 18 2024
R-4.4-macOKNov 18 2024
R-4.3-winOKNov 18 2024
R-4.3-macOKNov 18 2024

Exports:drdaeffective_dosegompertz_fngompertz_gradientgompertz_gradient_2gompertz_gradient_hessiangompertz_gradient_hessian_2gompertz_hessiangompertz_hessian_2loggompertz_fnloggompertz_gradientloggompertz_gradient_2loggompertz_gradient_hessianloggompertz_gradient_hessian_2loggompertz_hessianloggompertz_hessian_2logistic2_fnlogistic2_gradientlogistic2_gradient_2logistic2_gradient_hessianlogistic2_gradient_hessian_2logistic2_hessianlogistic2_hessian_2logistic4_fnlogistic4_gradientlogistic4_gradient_2logistic4_gradient_hessianlogistic4_gradient_hessian_2logistic4_hessianlogistic4_hessian_2logistic5_fnlogistic5_gradientlogistic5_gradient_2logistic5_gradient_hessianlogistic5_gradient_hessian_2logistic5_hessianlogistic5_hessian_2logistic6_fnlogistic6_gradientlogistic6_gradient_2logistic6_gradient_hessianlogistic6_gradient_hessian_2logistic6_hessianlogistic6_hessian_2loglogistic2_fnloglogistic2_gradientloglogistic2_gradient_2loglogistic2_gradient_hessianloglogistic2_gradient_hessian_2loglogistic2_hessianloglogistic2_hessian_2loglogistic4_fnloglogistic4_gradientloglogistic4_gradient_2loglogistic4_gradient_hessianloglogistic4_gradient_hessian_2loglogistic4_hessianloglogistic4_hessian_2loglogistic5_fnloglogistic5_gradientloglogistic5_gradient_2loglogistic5_gradient_hessianloglogistic5_gradient_hessian_2loglogistic5_hessianloglogistic5_hessian_2loglogistic6_fnloglogistic6_gradientloglogistic6_gradient_2loglogistic6_gradient_hessianloglogistic6_gradient_hessian_2loglogistic6_hessianloglogistic6_hessian_2naacnauc

Dependencies:

drda: An R package for dose-response data analysis using logistic functions

Rendered fromdrda.Rtexusingknitr::knitron Nov 18 2024.

Last update: 2023-02-08
Started: 2021-06-08

Readme and manuals

Help Manual

Help pageTopics
Fit non-linear growth curvesdrda
Effective doseeffective_dose
Gompertz functiongompertz_fn
Gompertz function gradient and Hessiangompertz_gradient gompertz_gradient_hessian gompertz_hessian
Gompertz function gradient and Hessiangompertz_gradient_2 gompertz_gradient_hessian_2 gompertz_hessian_2
log-Gompertz functionloggompertz_fn
Log-Gompertz function gradient and Hessianloggompertz_gradient loggompertz_gradient_hessian loggompertz_hessian
Log-Gompertz function gradient and Hessianloggompertz_gradient_2 loggompertz_gradient_hessian_2 loggompertz_hessian_2
2-parameter logistic functionlogistic2_fn
2-parameter logistic function gradient and Hessianlogistic2_gradient logistic2_gradient_hessian logistic2_hessian
2-parameter logistic function gradient and Hessianlogistic2_gradient_2 logistic2_gradient_hessian_2 logistic2_hessian_2
4-parameter logistic functionlogistic4_fn
4-parameter logistic function gradient and Hessianlogistic4_gradient logistic4_gradient_hessian logistic4_hessian
4-parameter logistic function gradient and Hessianlogistic4_gradient_2 logistic4_gradient_hessian_2 logistic4_hessian_2
5-parameter logistic functionlogistic5_fn
5-parameter logistic function gradient and Hessianlogistic5_gradient logistic5_gradient_hessian logistic5_hessian
5-parameter logistic function gradient and Hessianlogistic5_gradient_2 logistic5_gradient_hessian_2 logistic5_hessian_2
6-parameter logistic functionlogistic6_fn
6-parameter logistic function gradient and Hessianlogistic6_gradient logistic6_gradient_hessian logistic6_hessian
6-parameter logistic function gradient and Hessianlogistic6_gradient_2 logistic6_gradient_hessian_2 logistic6_hessian_2
2-parameter log-logistic functionloglogistic2_fn
2-parameter log-logistic function gradient and Hessianloglogistic2_gradient loglogistic2_gradient_hessian loglogistic2_hessian
2-parameter log-logistic function gradient and Hessianloglogistic2_gradient_2 loglogistic2_gradient_hessian_2 loglogistic2_hessian_2
4-parameter log-logistic functionloglogistic4_fn
4-parameter log-logistic function gradient and Hessianloglogistic4_gradient loglogistic4_gradient_hessian loglogistic4_hessian
4-parameter log-logistic function gradient and Hessianloglogistic4_gradient_2 loglogistic4_gradient_hessian_2 loglogistic4_hessian_2
5-parameter log-logistic functionloglogistic5_fn
5-parameter log-logistic function gradient and Hessianloglogistic5_gradient loglogistic5_gradient_hessian loglogistic5_hessian
5-parameter log-logistic function gradient and Hessianloglogistic5_gradient_2 loglogistic5_gradient_hessian_2 loglogistic5_hessian_2
6-parameter log-logistic functionloglogistic6_fn
6-parameter log-logistic function gradient and Hessianloglogistic6_gradient loglogistic6_gradient_hessian loglogistic6_hessian
6-parameter log-logistic function gradient and Hessianloglogistic6_gradient_2 loglogistic6_gradient_hessian_2 loglogistic6_hessian_2
Area above the curvenaac
Area under the curvenauc
Model fit plottingplot.drda
Vorinostat in OPM-2 cell-line datasetvoropm2