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drc (version 0.8-2)

Analysis of dose-response curves

Description

Non-linear regression analysis for multiple curves with focus on concentration-response, dose-response and time-response curves used, for example, in environmental sciences, pharmacology, toxicology and weed science.

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Version

Install

install.packages('drc')

Monthly Downloads

28,339

Version

0.8-2

License

GNU GPL (version 2 or any later version)

Homepage

http://www.r-project.org

Maintainer

Christian Ritz

Last Published

February 15th, 2017

Functions in drc (0.8-2)

Maximum mean response

Display information on estimation procedure

Summarising non-linear model fits

Hormesis data set

Sets control arguments

A suite of bioassays

Comparing selectivity indices across curves

Bioassay data with two factors

The four-parameter Gompertz function

The four-parameter logistic function

Heart rate baroreflexes for rabbits

The three-parameter Gompertz function

The modified logistic function

The three-parameter logistic function with Brain-Cousens' modification

The modified baro5 function

The logistic function

The four-parameter logistic function with Brain-Cousens' modification

Estimating effective dosage

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

The modified logistic function

Effect of Ferulic Acid on growth of ryegrass

print.summary.drc

Printing summary of non-linear model fits

Comparison of parameters

Fitting multiple dose-response curves

Collapse of levels

Extracting the log likelihood

Fitting multiple dose-response curves with random effects

The modified logistic function

The Brain-Cousens modification of the logistic function

Extract Model Coefficients

The five-parameter logistic function

ANOVA for non-linear model fits

The modified logistic function

The logit function

The Gompertz (Weibull) function

Printing key features

Extracting residuals from model

Plotting raw dose response data.

The effect of terbuthylazin on growth rate

Inhibition of photosynthesis

Extract fitted values from model

The modified logistic function

Confidence Intervals for model parameters

Plotting fitted curves for a drc object

Searching through a range of initial parameter values to obtain convergence

The modified logistic function

The three-parameter logistic function (lower limit equal to zero)

Updating and re-fitting a model

Fitting multiple dose-response curves for binomial data

The modified logistic function