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drc (version 1.5-1)

Analysis of dose-response curves

Description

Analysis of one or multiple curves with focus on concentration-response, dose-response and time-response curves used, for example in biology, environmental sciences, medicine, pharmacology, toxicology.

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Version

Install

install.packages('drc')

Monthly Downloads

158,911

Version

1.5-1

License

GPL (>= 2)

Homepage

http://www.r-project.org

Maintainer

Christian Ritz

Last Published

February 15th, 2017

Functions in drc (1.5-1)

Test data from a 21 day fish test

Fitting multiple dose-response curves

The four-parameter Weibull functions

Herbicide applied to Galium aparine

The Brain-Cousens hormesis models

The four-parameter log-logistic function

Michaelis-Menten model

The Cedergreen-Ritz-Streibig model

Leaf length of barley

Collapse of levels

Fitting mixture models

Bread and meat for the sandwich

Searching through a range of initial parameter values to obtain convergence

ANOVA for non-linear model fits

Comparing selectivity indices across curves

The three-parameter Weibull functions

Extracting residuals from model

Maximum mean response

Effect of technical grade and commerecially formulated auxin herbicides

Deguelin applied to chrysanthemum aphis

Asymptotic regression model

Extract fitted values from model

print.summary.drc

Printing summary of non-linear model fits

Dose-response profile of degradation of agrochemical using lepidium

Expected or predicted response

Inhibition of photosynthesis

Information on estimation

Exponential decay model

The Cedergreen-Ritz-Streibig model

The modified baro5 function

The five-parameter log-logistic function

Fitting dose-response models

Gompertz growth models

Competition between two biotypes

Creating isobolograms

The two-parameter log-logistic function

Confidence Intervals for model parameters

Isobutylalcohol in nutrient solution in which lettuce plants were grown

Simulating a dose-response curve

Potency of two herbicides

Comparison of effective dose values

Extract Model Coefficients

The two-parameter Weibull functions

Extracting the log likelihood

Glyphosate and metsulfuron-methyl tested on algae.

Heart rate baroreflexes for rabbits

Model selection

Plotting raw dose response data.

Updating and re-fitting a model

Example from Finney (1971)

Dose-response profile of degradation of agrochemical using nasturtium

The three-parameter log-logistic function

Estimating effective doses

Simulating ED values under various scenarios

The log-logistic function

The Brain-Cousens hormesis models

Mechlorprop and terbythylazine tested on Lemna minor

Calculating Variance-Covariance Matrix for objects of class 'drc'

The Cedergreen-Ritz-Streibig model

Vinclozolin from AR in vitro assay

The logistic (Boltzmann) model

Sets control arguments

Weight gain for different methionine sources

Transform-both-sides Box-Cox transformation

The effect of terbuthylazin on growth rate

Fitting multiple dose-response curves with random effects

Summarising non-linear model fits

The Weibull functions

Effect of ferulic acid on growth of ryegrass

Example of plant growth curve from Covarelli and Onofri (1998)

Acifluorfen and diquat tested on Lemna minor.

Model-robust dose-response modelling

Printing key features

Plotting fitted curves for a 'drc' or 'mrdrc' object

Sets control arguments

getMeanFunctions

Display available dose-response models

Comparison of parameters

The derivative of the Gompertz function