Aliases: regTermTest print.regTermTest
Keywords: regression
### ** Examples data(esoph) model1 <- glm(cbind(ncases, ncontrols) ~ agegp + tobgp * alcgp, data = esoph, family = binomial()) anova(model1)
Analysis of Deviance Table Model: binomial, link: logit Response: cbind(ncases, ncontrols) Terms added sequentially (first to last) Df Deviance Resid. Df Resid. Dev NULL 87 367.95 agegp 5 121.045 82 246.91 tobgp 3 36.639 79 210.27 alcgp 3 127.933 76 82.34 tobgp:alcgp 9 5.451 67 76.89
regTermTest(model1,"tobgp")
Wald test for tobgp in glm(formula = cbind(ncases, ncontrols) ~ agegp + tobgp * alcgp, family = binomial(), data = esoph) F = 6.080611 on 3 and 67 df: p= 0.0010073
regTermTest(model1,"tobgp:alcgp")
Wald test for tobgp:alcgp in glm(formula = cbind(ncases, ncontrols) ~ agegp + tobgp * alcgp, family = binomial(), data = esoph) F = 0.5880663 on 9 and 67 df: p= 0.80234
regTermTest(model1, ~alcgp+tobgp:alcgp)
Wald test for alcgp alcgp:tobgp in glm(formula = cbind(ncases, ncontrols) ~ agegp + tobgp * alcgp, family = binomial(), data = esoph) F = 8.358247 on 12 and 67 df: p= 2.2352e-09
data(api) dclus2<-svydesign(id=~dnum+snum, weights=~pw, data=apiclus2) model2<-svyglm(I(sch.wide=="Yes")~ell+meals+mobility, design=dclus2, family=quasibinomial()) regTermTest(model2, ~ell)
Wald test for ell in svyglm(formula = I(sch.wide == "Yes") ~ ell + meals + mobility, design = dclus2, family = quasibinomial()) F = 6.055448 on 1 and 36 df: p= 0.018792
regTermTest(model2, ~ell,df=NULL)
Wald test for ell in svyglm(formula = I(sch.wide == "Yes") ~ ell + meals + mobility, design = dclus2, family = quasibinomial()) F = 6.055448 on 1 and 36 df: p= 0.018792
regTermTest(model2, ~ell, method="LRT", df=Inf)
Working (Rao-Scott) LRT for ell in svyglm(formula = I(sch.wide == "Yes") ~ ell + meals + mobility, design = dclus2, family = quasibinomial()) Working 2logLR = 6.781297 p= 0.0096772 df=1
regTermTest(model2, ~ell+meals, method="LRT", df=NULL)
Working (Rao-Scott+F) LRT for ell meals in svyglm(formula = I(sch.wide == "Yes") ~ ell + meals + mobility, design = dclus2, family = quasibinomial()) Working 2logLR = 4.692659 p= 0.11957 (scale factors: 1.6 0.37 ); denominator df= 36
regTermTest(model2, ~ell+meals, method="WorkingWald", df=NULL)
Working (Rao-Scott+F) for ell meals in svyglm(formula = I(sch.wide == "Yes") ~ ell + meals + mobility, design = dclus2, family = quasibinomial()) Working Wald statistic = 4.196737 p= 0.14263 (scale factors: 1.6 0.37 ); denominator df= 36