Description Details Slots Extends Objects from the Class Methods References See Also Examples
Class for small area estimation, the one you're probably looking for.
cluster
optionally gives the name of a variable in slot data
from which the cluster information for clustered sample designs is to be
read.
See Manadallaz 2013, p. 445 for Details.
include
optionally gives the name of a variable in slot data
from which the inclusion indicator for cluster points is to be read.
See Manadallaz 2013, p. 445 for Details on I_f.
Also see the Details for predict
.
smallAreaMeans
An optional "data.frame"
giving the true means of fixed effects for the small areas.
Must have a column with the random effect defining the small areas in
slot
data
.
s1
An optional "character"
string giving the name of a
variable in slot data
indicating that an observation (a row in
slot
data
) belongs to subset 1.
s2
An optional "character"
string giving the name of a
variable in slot data
indicating that an observation (a row in
slot
data
) belongs to subset 2.
data
Object of class "data.frame"
to use for prediction,
typically
consisting of a predictand and one or more predictors (zero or more fixed
effects and one random effect defining the small areas).
See Details for optional clustering variable and/or inclusion
indicator.
f
Object of class "formula"
a linear mixed effects model
formula.
cluster
An optional "character"
string giving the name of
the
clustering variable in slot data
.
include
An optional "character"
string giving the name of
the
inclusion indicator in slot data
.
auxiliaryWeights
An optional "character"
string giving
the name of the
auxiliary weights in slot data
. You will need it, if your
auxiliary
data does not have full spatial support for each observation (for example
when a shapefile does not completely cover all gird cells used to compute
auxiliary data on).
See
vignette("forestinventory_vignette", package = "forestinventory")
for details.
Class "savObj"
, directly.
Objects can be created by calls of the form
new("saeObj", ...)
or via the constructor function
"?maSAE::saObj"
(recommended).
predict
Mandallaz, D. 2013 Design-based properties of some small-area estimators in forest inventory with two-phase sampling. Canadian Journal of Forest Research 43(5), pp. 441–449. doi: 10.1139/cjfr-2012-0381.
"?stats::formula"
,
"class?maSAE::saObj"
,
"class?maSAE::savObj"
,
"?maSAE::saObj"
and
"?maSAE::predict"
Other classes:
characterOrNULL-class
,
sadObj-class
,
savObj-class
1 | showClass("saeObj")
|
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