A version of glmerControl
from lme4
, with different defaults.
1 2 3 4 5 6 7  set_lme4_control(check.nobs.vs.rankZ = "ignore",
check.nobs.vs.nlev = "ignore", check.nlev.gtreq.5 = "ignore",
check.nlev.gtr.1 = "ignore", check.nobs.vs.nRE = "ignore",
check.rankX = c("message+drop.cols", "silent.drop.cols",
"warn+drop.cols", "stop.deficient", "ignore"),
check.scaleX = "warning", check.formula.LHS = "stop",
check.response.not.const = "ignore", ...)

check.nobs.vs.rankZ 
character  rules for
checking whether the number of observations is greater
than (or greater than or equal to) the rank of the random
effects design matrix (Z), usually necessary for
identifiable variances. As for 
check.nobs.vs.nlev 
character  rules for checking whether the
number of observations is less than (or less than or equal to) the
number of levels of every grouping factor, usually necessary for
identifiable variances. As for 
check.nlev.gtreq.5 
character  rules for
checking whether all random effects have >= 5 levels.
See 
check.nlev.gtr.1 
character  rules for checking
whether all random effects have > 1 level. See 
check.nobs.vs.nRE 
character  rules for
checking whether the number of observations is greater
than (or greater than or equal to) the number of randomeffects
levels for each term, usually necessary for identifiable variances.
As for 
check.rankX 
character  specifying if 
check.scaleX 
character  check for problematic scaling of columns of fixedeffect model matrix, e.g. parameters measured on very different scales. 
check.formula.LHS 
check whether specified formula has
a lefthand side. Primarily for internal use within

check.response.not.const 
character  check that the response is not constant. 
... 
other arguments to 
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