summary.gt.mp {binGroup}R Documentation

Summary Method for Group Testing Model (Matrix Pooling) Fits

Description

Produce a summary list for objects of class "gt.mp" returned by gtreg.mp.

Usage

## S3 method for class 'gt.mp':
summary(object, ...)

Arguments

object a fitted object of class "gt.mp".
... currently not used.

Details

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. (It is possible that there are no residual degrees of freedom from which to estimate it. In that case the estimate is NaN.)

Value

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.
df.residual the component from object.
df.null 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.

Author(s)

Boan Zhang

See Also

gtreg.mp for creating an object of class "gtreg.mp", print.summary.gt.mp gives some hints how to change teh print-out of summary.gt.mp

Examples


## --- Continuing the Example from  '?sim.mp' and '?gtreg.mp':
# 5*6 and 4*5 matrix

set.seed(9128)
sa1a<-sim.mp(beta.par=c(-7,0.1), rown=c(5,4), coln=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, 
  col.groupn = coln, row.groupn = rown, arrayn = sqn, 
  sens = 0.95, spec = 0.95, linkf = "logit", n.gibbs = 1000, tol = 0.005)

summary(fit1mp)
## End(Not run)


[Package binGroup version 1.0-4 Index]