Code
update(M_bioChem.full, . ~ . - phd)
Output
Call: glm.izip(formula = art ~ fem + mar + kid5 + ment, data = bioChemists)
Linear Model Coefficients:
(Intercept) femWomen marMarried kid5 ment
0.356620 -0.229230 0.156560 -0.189560 0.024839
Baseline Zero-inflation odds (nu): 0.286
Degrees of Freedom: 914 Total (i.e. Null); 910 Residual
Null Deviance: 1542.754
Residual Deviance:
AIC: 3238.432
Code
update(M_bioChem.full2, . ~ . - phd)
Output
Call: glm.izip(formula = art ~ fem + mar + kid5 + ment, data = bioChemists)
Linear Model Coefficients:
(Intercept) femWomen marMarried kid5 ment
0.356620 -0.229230 0.156560 -0.189560 0.024839
Baseline Zero-inflation odds (nu): 0.286
Degrees of Freedom: 914 Total (i.e. Null); 910 Residual
Null Deviance: 1542.754
Residual Deviance:
AIC: 3238.432
Code
iziplrtest(M_bioChem.full, M.bioChem.null)
Output
Likelihood ratio test for testing both iZIP models are equivalent
LRT-statistic: 0.111
Chi-sq degrees of freedom: 1
P-value: 0.739
Code
confint(M_bioChem.full)
Output
2.5 % 97.5 %
(Intercept) 0.09261810 0.55651638
femWomen -0.35207646 -0.10516958
marMarried 0.02051290 0.29726928
kid5 -0.28028826 -0.09879790
phd -0.04917707 0.06941332
ment 0.02042481 0.02894963
Code
confint(M_bioChem.full, parm = "ment", level = 0.9)
Output
5 % 95 %
ment 0.02111009 0.02826435
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