Usage
lmList(formula, data, family, subset, weights, na.action,
offset, pool, ...)Arguments
formula
a linear formula object of the form
y ~ x1+...+xn | g. In the formula object, y
represents the response, x1,...,xn the covariates,
and g the grouping factor specifying the
partitioning of the dat
family
an optional family specification for a
generalized linear model.
pool
logical scalar, should the variance estimate
pool the residual sums of squares
...
additional, optional arguments to be passed to
the model function or family evaluation.
data
an optional data frame containing the
variables named in formula. By default the
variables are taken from the environment from which
lmer is called. While data is optional, the
package authors strongly
subset
an optional expression indicating the
subset of the rows of data that should be used in
the fit. This can be a logical vector, or a numeric
vector indicating which observation numbers are to be
included, or a character vector of the r
weights
an optional vector of prior
weights to be used in the fitting process. Should be
NULL or a numeric vector.
na.action
a function that indicates what should
happen when the data contain NAs. The default
action (na.omit, inherited from the 'factory
fresh' value of getOption("na.action")) strips any
observations with any missi
offset
this can be used to specify an a
priori known component to be included in the linear
predictor during fitting. This should be NULL or a
numeric vector of length equal to the number of cases.
One or more