reStruct {lme4} | R Documentation |
Create an reStruct
object from values for its slots.
reStruct(fixed, random, data, weights, REML, nextraCols, analyticHessian)
fixed |
a formula of the form response ~ terms where
response is an expression for the response and terms
are one or more terms that define the fixed-effects. |
random |
a named list of one-sided formulas. The names in the
list evaluate to the grouping factors and the right-hand side of the
formula is an expression for a pdMat object that itself
contains a formula. The order of the components of the list
determines the nesting structure in that the second component is
nested within the first, the third within the second, and so on. |
data |
a data.frame or model.frame in which the
fixed and random arguments can be evaluated. |
weights |
a numeric vector of prior case weights for the observations. Defaults to equal weights. |
REML |
a logical value: if TRUE the REML
criterion will be used for parameter estimation, otherwise the ML
criterion will be used. |
nextraCols |
an integer giving the number of extra columns
to be added to the stored matrices. |
analyticHessian |
a ilogical value: if TRUE the
analytic Hessian of the objective can be calculated using the
LMEhessian function. |
An reStruct
object.
reStruct-class
, lmeLevel-class