Change default settings for gremlin models.
gremlinControl(
cctol = c(5e-04, 1e-08, 0.001, NULL),
ezero = 1e-08,
einf = 1e+30,
step = 0.3,
lambda = TRUE,
algorithm = NULL,
algArgs = list()
)
Convergence criteria tolerances (Meyer 2007, 2019).
Effective zero to be used, values less than this number are treated as zero and fixed to this value.
Effective infinite value to be used, values are limited to a to this variable as a maximum.
A numeric
value for scaling the proposed parameter updates.
A logical
indicating whether a residual variance should
be factored out of the mixed model equations.
A character
naming the function to use to decide
subsequent parameters in the REML iterations.
A list
of function arguments to be given to functions
named in the algorithm
argument.
A list
of class gremlinControl
to be used by
gremlinSetup
and later functions when fitting the model.
Meyer, K. 2007. WOMBAT - a tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). Journal of Zhejiang University SCIENCE B 8(11):815-821.
Meyer, K. 2019. WOMBAT A program for mixed model analyses by restricted maximum likelihood. User Notes. 27 September 2019.
# NOT RUN {
str(gremlinControl())
# }
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