anova.drc {drc} | R Documentation |
'anova' produces an analysis of variance table for one or two non-linear model fits.
anova.drc(object, ..., test = NULL) anova.drclist(object, ..., test = NULL)
object |
an object of class 'drc'. |
... |
additional arguments. |
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).
The function anova.lm
for linear models.
## Comparing the nonlinear model to a one-way ANOVA model using an F test model1 <- multdrc(FA, fct = w4()) anova(model1) ## Comparing a Gompertz three- and four-parameter models using an F test model2 <- multdrc(FA, fct = w3()) anova(model2, model1) # reduction to 'w3' not possible (highly significant) rm(model1, model2)