BoxCoxME | R Documentation |
BoxCox
Mixed-effects version of BoxCox
BoxCoxME( formula, data, subset, weights, offset, na.action = na.omit, silent = TRUE, resid = FALSE, do_update = FALSE, estinit = TRUE, initpar = NULL, fixed = NULL, nofit = FALSE, control = optim_control(), ... )
formula |
an object of class |
data |
an optional data frame, list or environment (or object
coercible by |
subset |
an optional vector specifying a subset of observations to be used in the fitting process. |
weights |
an optional vector of weights to be used in the fitting
process. Should be |
offset |
this can be used to specify an _a priori_ known component to
be included in the linear predictor during fitting. This
should be |
na.action |
a function which indicates what should happen when the data
contain |
silent |
Logical. Make TMB functionality silent. |
resid |
Logical. If |
do_update |
Logical. If |
estinit |
logical, estimate a vector of initial values for the fixed effects parameters from a (fixed effects only) mlt model |
initpar |
named list of initial parameter values, if |
fixed |
a named vector of fixed regression coefficients; the names need to correspond to column names of the design matrix |
nofit |
logical, if TRUE, creates the model object, but does not run the optimization |
control |
list with controls for optimization |
... |
additional arguments to |
A BoxCoxME object.
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