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drc (version 2.1-1)

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

28,339

Version

2.1-1

License

GPL-2

Homepage

http://www.r-project.org

Maintainer

Christian Ritz

Last Published

March 10th, 2011

Functions in drc (2.1-1)

The modified baro5 function

Mean function for the Gompertz dose-response or growth curve

The three-parameter Weibull functions

Sets control arguments

Vinclozolin from AR in vitro assay

The log-logistic function

Earthworm toxicity test

Expected or predicted response

The derivative of the Gompertz function

Heart rate baroreflexes for rabbits

Mechlorprop and terbythylazine tested on Lemna minor

Effect of erythromycin on mixed sewage microorganisms

Herbicide applied to Galium aparine

Dose-response profile of degradation of agrochemical using nasturtium

The four-parameter Weibull functions

getMeanFunctions

Display available dose-response models

Fitting mixture models

Dose-response model for estimation of no effect concentration (NEC).

Asymptotic regression model

Mortality of tobacco budworms

Effect of technical grade and commercially formulated auxin herbicides

Example from Finney (1971)

Bread and meat for the sandwich

Comparison of effective dose values

Simulating a dose-response curve

Fractional polynomial-logistic dose-response models

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

Comparison of parameters

Log-normal dose-response model

Checking the model fot

Calculating yield loss parameters

Effect of ferulic acid on growth of ryegrass

The four-parameter log-logistic function

Information on estimation

Extracting residuals from model

The effect of terbuthylazin on growth rate

Neill's lack-of-fit test for dose-response models

Two-phase dose-response model

The two-parameter Weibull functions

Gompertz growth models

Fitting dose-response models

Exponential decay model

Dose-response profile of degradation of agrochemical using lepidium

Estimation of ED values using model-averaging

Model-robust dose-response modelling

Weight gain for different methionine sources

Mizon-Richard test for dose-response models

Isobutylalcohol in nutrient solution in which lettuce plants were grown

Estimating effective doses

Cedergreen-Ritz-Streibig dose-reponse model for describing hormesis

The five-parameter log-logistic function

Leaf length of barley

S.capricornutum

Effect of cadmium on growth of green alga

The two-parameter log-logistic function

Effect of sodium pentachlorophenate on growth of fathead minnow

Showing starting values used

The logistic model

Extract fitted values from model

Updating and re-fitting a model

Michaelis-Menten model

The three-parameter log-logistic function

Maximum mean response

The Brain-Cousens hormesis models

Transform-both-sides Box-Cox transformation

Effect of an effluent on the growth of mysid shrimp

Calculating variance-covariance matrix for objects of class 'drc'

Searching through a range of initial parameter values to obtain convergence

Glyphosate and metsulfuron-methyl tested on algae.

Root length measurements

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

Weibull model functions

Inhibition of photosynthesis

Potency of two herbicides

Model function for the universal response surface approach (URSA) for the quantitative assessment of drug interaction

The Brain-Cousens hormesis models

Competition between two biotypes

Test data from a 21 day fish test

Volume of algae as function of increasing concentrations of a herbicide

Acifluorfen and diquat tested on Lemna minor.

The Cedergreen-Ritz-Streibig model

Deguelin applied to chrysanthemum aphis

Confidence Intervals for model parameters

Extracting the log likelihood

Lack-of-fit test for the mean structure based on cumulated residuals

print.summary.drc

Printing summary of non-linear model fits

Printing key features

Creating isobolograms

The Cedergreen-Ritz-Streibig model

Summarising non-linear model fits

Simulating ED values under various scenarios

Model selection

ANOVA for dose-response model fits

Comparing selectivity indices across curves

Extract Model Coefficients