Generate an anova object. The method to calculate the BIC is that from the saemix package. As in other prominent anova methods, models are sorted by number of parameters, and the tests (if requested) are always relative to the model on the previous line.
# S3 method for saem.mmkin
anova(
object,
...,
method = c("is", "lin", "gq"),
test = FALSE,
model.names = NULL
)an "anova" data frame; the traditional (S3) result of anova()
An saem.mmkin object
further such objects
Method for likelihood calculation: "is" (importance sampling), "lin" (linear approximation), or "gq" (Gaussian quadrature). Passed to saemix::logLik.SaemixObject
Should a likelihood ratio test be performed? If TRUE, the alternative models are tested against the first model. Should only be done for nested models.
Optional character vector of model names