mphase.gain takes as input an object created by the estTable function
and returns a validation of which multiphase method and estimator performed best in comparison
to the onephase estimation (baseline) in terms of estimation precision.
mphase.gain(esttable.obj, pref.vartype = "g_variance", exclude.synth = TRUE)an object of class esttable created by the estTable function
preferred type of multiphase variance that should be compared to the onephase variance,
if more then one variance type has been calculated in the multiphase estimation object(s) stored in
esttable. Valid input values are "g_variance" (default) and "ext_variance".
logical. If set to TRUE (default), synthetic estimations are not considered in the validation.
mphase.gain returns a data.frame containing the following components:
area: in case of small area estimation: the name of the small area
var_onephase: standard error of the onephase estimation
var_multiphase: smallest variance among the (set of) multiphase estimations stored in esttable.obj
estimator: multiphase estimator with the smallest variance
method: estimation Method of the multiphase estimator with the smallest variance
gain: the gain is the reduction (if value is positive) or possibly also the increase (if value is negative)
in variance when applying the multiphase as alternative to the onephase estimation
rel.eff: the relative efficiency defined as the ratio between the onephase variance and the multiphase variance