Summary Method for Group Testing Model (Simple Pooling) Fits
Produce a summary list for objects of class "gt" returned by gtreg.
## S3 method for class 'gt' summary(object, ...)
object |
a fitted object of class "gt". |
... |
currently not used. |
print.summary.gt is the print function that formats the coefficients, standard errors, etc. and additionally gives 'significance stars' if signif.stars is TRUE. The coefficients component of the result gives the estimated coefficients and their estimated standard errors, together with their ratio. This third column is labeled z ratio using Wald tests. A fourth column gives the two-tailed p-value corresponding to the z ratio based on a Wald test. (It is possible that there are no residual degrees of freedom from which to estimate it. In that case the estimate is NaN.)
summary.gt returns an object of class "summary.gt", a list with components
call |
the component from object. |
link |
the component from object. |
deviance |
the component from object. |
aic |
the component from object. |
df.residual |
the component from object. |
null.deviance |
the component from object. |
df.null |
the component from object. |
deviance.resid |
the deviance residuals: see |
coefficients |
the matrix of coefficients, standard errors, z-values and p-values. Aliased coefficients are omitted. |
counts |
the component from object. |
method |
the component from object. |
cov.mat |
the estimated covariance matrix of the estimated coefficients. |
Boan Zhang
gtreg for creating an object of class "gt",
and print.summary.gt for some options of changing the print out following summary.gt.
## --- Continuing the Example from '?gtreg': data(hivsurv) fit1 <- gtreg(formula = groupres ~ AGE + EDUC., data = hivsurv, groupn = gnum, sens = 0.9, spec = 0.9, method = "Xie") summary(fit1)
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