stat.glmm.no.first.model {ANTs}  R Documentation 
Performs Generalized Linear Mixed Models tests
stat.glmm.no.first.model(
ant,
formula,
family,
oda = NULL,
progress = TRUE,
odf,
...
)
ant 
an output of ANT function 
formula 
twosided linear formula object describing both the fixedeffects and randomeffects part of the model, with the response on the left of a ~ operator and the terms, separated by + operators, on the right. Randomeffects terms are distinguished by vertical bars () separating expressions for design matrices from grouping factors. Two vertical bars () can be used to specify multiple uncorrelated random effects for the same grouping variable. (Because of the way it is implemented, the syntax works only for design matrices containing numeric (continuous) predictors; to fit models with independent categorical effects, see dummy or the lmer_alt function from the afex package.). 
family 

oda 
the original data frame of associations when argument ant is obtained with perm.ds.grp or perm.ds.focal ANT functions. 
progress 
a boolean indicating the visualization of the permutation process. 
odf 
the original data frame 
... 
Extra arguments for 
GLMM with permutation data.
Returns a list of 3 elements :
An object of class merMod
(more specifically, an object of subclass lmerMod or glmerMod), for which many methods are available (e.g. methods(class="merMod")).
A data frame if the estimates of the permuted models.
A vector of integers indicating the permutations that returned model errors or warnings (e.g. model convergence issues) and for which new permutations were done.
Sebastian Sosa, Ivan PugaGonzalez.