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drc (version 1.3-0)

drc-package: Modelling dose-response curves

Description

Non-linear regression analysis for one or more curves with focus on concentration-response, dose-response and time-response curves used, for example, in biology, chemistry, environmental sciences, medicine, pharmacology, toxicology.

Arguments

Details

ll{ Package: drc LazyLoad: yes LazyData: yes Version: 1.1-0 License: GNU GPL (version 2 or any later version) Depends: R (>= 2.0.0), MASS Date: 2007-02-01 URL: http://www.r-project.org, http://www.bioassay.dk Packaged: Tue Aug 1 18:24:23 2006; ritz Built: R 2.3.0; ; 2006-08-01 18:24:25; windows } Index: ED Estimating effective dosage FA Effect of Ferulic Acid on growth of ryegrass MAX Maximum mean response MM Michaelis-Menten model PestSci Inhibition of photosynthesis RScompetition Competition between two biotypes SI Comparing selectivity indices across curves TM A suite of bioassays TerMet The effect of terbuthylazin on growth rate acidiq Acifluorfen and diquat tested on Lemna minor. anova.drc ANOVA for non-linear model fits baro5 The modified baro5 function bcl3 The three-parameter logistic function with Brain-Cousens' modification bcl4 The four-parameter logistic function with Brain-Cousens' modification braincousens The Brain-Cousens modification of the logistic function cabanne data name/kind christensenetal2003 Potency of two herbicides coef.drc Extract Model Coefficients colFct Collapse of levels compParm Comparison of parameters confint.drc Confidence Intervals for model parameters daphnids Daphnia test diagnostics Display information on estimation procedure earthworms Earthworms finney71 Example from Finney (1971) fitted.drc Extract fitted values from model glymet Glyphosate and metsulfuron-methyl tested on algae. heartrate Heart rate baroreflexes for rabbits hormesis Hormesis data set isobole Creating isobolograms isomerization Reaction rate of the catalytic isomerization l2 The two-parameter logistic function l3 The three-parameter logistic function l4 The four-parameter logistic function l5 The five-parameter logistic function leaflength Leaf length of barley logLik.drc Extracting the log likelihood logistic The logistic function mdControl Sets control arguments mixdrc Fitting multiple dose-response curves with random effects mixture Fitting mixture models ml3a The modified logistic function ml3b The modified logistic function ml3c The modified logistic function ml4a The modified logistic function ml4b The modified logistic function ml4c The modified logistic function mlogistic The modified logistic function multdrc Fitting multiple dose-response curves onecurve Root length plot.drc Plotting fitted curves for a drc object plotraw Plotting raw dose response data. predict.drc Prediction print.drc Printing key features print.summary.drc Printing summary of non-linear model fits residuals.drc Extracting residuals from model searchdrc Searching through a range of initial parameter values to obtain convergence summary.drc Summarising non-linear model fits termec Mechlorprop and terbythylazine tested on Lemna minor twofactors Dose-response curves for multiple factors update.drc Updating and re-fitting a model vcov.drc Calculating Variance-Covariance Matrix for objects of class 'drc' w2 The two-parameter Weibull function w3 The three-parameter Weibull function w4 The four-parameter Weibull function weibull The Weibull function Further information is available in the following vignette: ll{ drc Bioassay analysis using R (source, pdf) }

References

Ritz, C. and Streibig, J. C. (2005) Bioassay Analysis using R. J. Statist. Software, 12, Issue 5.

Examples

Run this code
model1 <- multdrc(rootl ~ conc, data = ryegrass)
plot(model1)

model2 <- multdrc(SLOPE ~ DOSE, CURVE, data = spinach)
plot(model2)

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