anova.drc: ANOVA for dose-response model fits
In MaximeBSanofi/drc2:

Description Usage Arguments Details Value Author(s) References See Also Examples

'anova' produces an analysis of variance table for one or two non-linear model fits.

1 2	## S3 method for class 'drc' anova(object, ..., details = TRUE, test = NULL)

`object`	an object of class 'drc'.
`...`	additional arguments.
`details`	logical indicating whether or not details on the models compared should be displayed. Default is TRUE (details are displayed).
`test`	a character string specifying the test statistic to be applied. Use "od" to assess overdispersion for binomial data.

Specifying only a single object gives a test for lack-of-fit, comparing the non-linear regression model to a more general one-way or two-way ANOVA model.

If two objects are specified a test for reduction from the larger to the smaller model is given. (This only makes statistical sense if the models are nested, that is: one model is a submodel of the other model.)

An object of class 'anova'.

Christian Ritz

Bates, D. M. and Watts, D. G. (1988) Nonlinear Regression Analysis and Its Applications, New York: Wiley \& Sons (pp. 103–104)

For comparison of nested or non-nested model the function mselectcan also be used.

The function anova.lm for linear models.

## Comparing a Gompertz three- and four-parameter models using an F test
ryegrass.m1 <- drm(rootl ~ conc, data = ryegrass, fct = W1.4())
ryegrass.m2 <- drm(rootl ~ conc, data = ryegrass, fct = W1.3())
anova(ryegrass.m2, ryegrass.m1)  # reduction to 'W1.3' not possible (highly significant)   

anova(ryegrass.m2, ryegrass.m1, details = FALSE)  # without details