r - how to report goodness of fit for a svyglm object? -


a question survey package in r. know basic i've found nothing. so:

library(survey) data(api) dclus2 <- svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc) summary(svyglm(api00 ~ ell + meals + mobility, design = dclus2)) call: svyglm(formula = api00 ~ ell + meals + mobility, design = dclus2)  survey design: svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)  coefficients:             estimate std. error t value pr(>|t|)     (intercept) 819.2791    21.3900  38.302 4.65e-13 *** ell          -0.5167     0.3240  -1.595    0.139     meals        -3.1232     0.2781 -11.231 2.29e-07 *** mobility     -0.1689     0.4449  -0.380    0.711     --- signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1  (dispersion parameter gaussian family taken 3157.85)  number of fisher scoring iterations: 2

is there r-squared or other statistic give reader impression of how model fits data?

thanks.

there package came out in late 2016 found called "poliscidata" has function fit.svyglm returns r square , adj. r square outputs svyglm objects. have used success.


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