Summary Method for Group Testing Model (Matrix Pooling) Fits
Produce a summary list for objects of class "gt.mp" returned by gtreg.mp.
## S3 method for class 'gt.mp' summary(object, ...)
object |
a fitted object of class "gt.mp". |
... |
currently not used. |
print.summary.gt.mp 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.
summary.gt.mp returns an object of class "summary.gt.mp", a list with components
call |
the component from object. |
link |
the component from object. |
coefficients |
the matrix of coefficients, standard errors, z-values and p-values. |
counts |
the component from object. |
Gibbs.sample.size |
the component from object. |
cov.mat |
the estimated covariance matrix of the estimated coefficients. |
Boan Zhang
gtreg.mp for creating an object of class "gtreg.mp",
print.summary.gt.mp gives some hints how to change the print-out of summary.gt.mp
## --- Continuing the Example from '?sim.mp' and '?gtreg.mp': # 5*6 and 4*5 matrix set.seed(9128) sa1a<-sim.mp(par=c(-7,0.1), n.row=c(5,4), n.col=c(6,5), sens=0.95, spec=0.95) sa1<-sa1a$dframe ## Not run: fit1mp <- gtreg.mp(formula = cbind(col.resp, row.resp) ~ x, data = sa1, coln = coln, rown = rown, arrayn = arrayn, sens = 0.95, spec = 0.95, linkf = "logit", n.gibbs = 1000, tol = 0.005) summary(fit1mp) ## End(Not run)
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