This function is a constructor for the reStruct class,
representing a random effects structure and consisting of a list of
pdMat objects, plus a settings attribute containing
information for the optimization algorithm used to fit the associated
mixed-effects model.
reStruct(object, pdClass, REML, data)
# S3 method for reStruct
print(x, sigma, reEstimates, verbose, ...)an object inheriting from class reStruct, representing a random
effects structure.
any of the following: (i) a one-sided formula of the form
~x1+...+xn | g1/.../gm, with x1+...+xn specifying the
model for the random effects and g1/.../gm the grouping
structure (m may be equal to 1, in which case no / is
required). The random effects formula will be repeated for all levels
of grouping, in the case of multiple levels of grouping; (ii) a list of
one-sided formulas of the form ~x1+...+xn | g, with possibly
different random effects models for each grouping level. The order of
nesting will be assumed the same as the order of the elements in the
list; (iii) a one-sided formula of the form ~x1+...+xn, or a
pdMat object with a formula (i.e. a non-NULL value for
formula(object)), or a list of such formulas or pdMat
objects. In this case, the grouping structure formula will be derived
from the data used to to fit the mixed-effects model, which should
inherit from class groupedData; (iv) a named list of formulas or
pdMat objects as in (iii), with the grouping factors as
names. The order of nesting will be assumed the same as the order of
the order of the elements in the list; (v) an reStruct object.
an optional character string with the name of the
pdMat class to be used for the formulas in
object. Defaults to "pdLogChol" which corresponds to a
general positive-definite matrix (Log-Cholesky parametrization).
an optional logical value. If TRUE, the associated
mixed-effects model will be fitted using restricted maximum
likelihood; else, if FALSE, maximum likelihood will be
used. Defaults to FALSE.
an optional data frame in which to evaluate the variables
used in the random effects formulas in object. It is used to
obtain the levels for factors, which affect the dimensions and
the row/column names of the underlying pdMat objects. If
NULL, no attempt is made to obtain information on
factors appearing in the formulas. Defaults to the
parent frame from which the function was called.
an object inheriting from class reStruct to be printed.
an optional numeric value used as a multiplier for
the square-root factors of the pdMat components (usually the
estimated within-group standard deviation from a mixed-effects
model). Defaults to 1.
an optional list with the random effects estimates
for each level of grouping. Only used when verbose = TRUE.
an optional logical value determining if the random
effects estimates should be printed. Defaults to FALSE.
Optional arguments can be given to other methods for this generic. None are used in this method.
José Pinheiro and Douglas Bates bates@stat.wisc.edu
groupedData,
lme,
pdMat,
solve.reStruct,
summary.reStruct,
update.reStruct
rs1 <- reStruct(list(Dog = ~day, Side = ~1), data = Pixel)
rs1 # 2 entries "Uninitialized"
str(rs1) # a bit more
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