Summarizes the results from a glmELE fit, providing coefficient estimates,
standard errors, test statistics, and p-values for each weighting method used.
Usage
# S3 method for class 'glmELE'
summary(object, ...)Value
An object of class "summary.glmELE", which is a list containing:
- call
The matched call.
- family
The family object used.
- coefficients
A list of matrices, one per weighting method, containing estimates, SEs, t/z values, and p-values.
- dispersion
The estimated dispersion parameter(s).
- deviance
The deviance of the fitted model.
- df.residual
The residual degrees of freedom.
Examples
data(brfss, package = "postlink")
adj_object <- adjELE(linked.data = brfss,
m.rate = unique(brfss$m.rate),
blocks = imonth,
weight.matrix = "BLUE")
fit <- plglm(Weight ~ Height + Physhlth + Menthlth + Exerany,
family = "gaussian", adjustment = adj_object)
summary(fit)
#>
#> Call:
#> plglm(formula = Weight ~ Height + Physhlth + Menthlth + Exerany,
#> family = "gaussian", adjustment = adj_object)
#>
#> Family: gaussian
#>
#> --- Weighting Method: BLUE ---
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) -118.90181 20.68928 -5.747 1.05e-08 ***
#> Height 0.58802 0.03871 15.190 < 2e-16 ***
#> Physhlth 0.32227 0.15932 2.023 0.0432 *
#> Menthlth 0.13151 0.18481 0.712 0.4768
#> Exerany -4.45070 2.09676 -2.123 0.0339 *
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Dispersion parameter for gaussian family: 1434
#>