EST(x, type="sae")return the vector of
small area estimates of sae object x.
Alternatively, with type "coef" or "raneff" fixed
or random effect estimates are returned.
MSE(x, type="sae")return the vector of
mean squared errors of sae object x.
Alternatively, with type "coef" or "raneff" MSEs
of fixed or random effects are returned.
SE(x, type="sae")extract standard errors,
i.e. square roots of the MSEs.
relSE(x,
type="sae")extract relative standard errors.
COV(x)extract the covariance matrix for
the small area estimates.
COR(x)extract
the correlation matrix for the small area estimates.
coef(x)coef method for sae
objects; returns vector of fixed effects.
vcov(x)vcov method for sae
objects; returns covariance matrix for fixed effects.
raneff(x, pop)return vector of random
effects. If pop=TRUE returns a vector for
predicted areas (zero for out-of-sample areas), otherwise
a vector for sampled areas.
raneff.se(x,
pop)return vector of standard errors for random
effects.
residuals(x)residuals
method for sae objects; returns a vector of
residuals.
fitted(x)fitted method
for sae objects; returns a vector of fitted
values.
se2(x)extracts within-area
variance estimate.
sv2(x)extracts
between-area variance estimate.
wDirect(x,
pop)extract vector of weights of the survey regression
components in the small area estimates. If
pop=TRUE returns a vector for predicted areas
(zero for out-of-sample areas), otherwise a vector for
sampled areas.
synthetic(x)extract vector
of synthetic estimates.
CV(x)extract
leave-one-out cross-validation measure.
cAIC(x)extract conditional AIC measure.
R2(x)extract unit-level R-squared
goodness-of-fit measure.