Primarily internal code for checking optimization convergence, see convergence for a more detailed discussion.
checkConv(derivs, coefs, ctrl, lbound, debug = FALSE, nobs = NULL, ndim = NULL)A result list containing
The return code for the check
A character vector of warnings and messages generated by the check
typically the "derivs" attribute of optimizeLmer(); with
"gradients" and possibly "Hessian" component
current coefficient estimates
list of lists, each with action character strings specifying
what should happen when a check triggers, and tol numerical tolerances,
as is the result of lmerControl()$checkConv.
vector of lower bounds for random-effects parameters only (length is taken to determine number of RE parameters)
enable debugging output, useful if some checks are on "ignore", but would "trigger"
number of observations (needed to determine whether to do convergence checks for large data)
number of dimensions for the variance-covariance matrix of random effects (needed to determine whether to do the gradient/hessian checks for large nonlinear optimization problems)
convergence