summary.gtReg {binGroup2} | R Documentation |
Summary method for gtReg
Description
Produce a summary list for objects of class
"gtReg" returned by gtReg
.
Usage
## S3 method for class 'gtReg'
summary(object, ...)
Arguments
object |
a fitted object of class "gtReg". |
... |
currently not used. |
Details
The coefficients component of the results gives a matrix containing the estimated coefficients and their estimated standard errors. The third column is their ratio, 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. Note that it is possible that there are no residual degrees of freedom from which to estimate, in which case the estimate is NaN.
Value
summary.gtReg returns an object of class "summary.gtReg", a list containing:
call |
the component from object. |
link |
the component from object. |
deviance |
the component from object,
for simple pooling (type = "sp" in |
aic |
the component from object,
for simple pooling (type = "sp" in |
df.residual |
the component from object,
for simple pooling (type = "sp" in |
null.deviance |
the component from object,
for simple pooling (type = "sp" in |
df.null |
the component from object,
for simple pooling (type = "sp" in |
deviance.resid |
the deviance residuals,
for simple pooling (type = "sp" in |
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,
for simple pooling (type = "sp" in |
Gibbs.sample.size |
the component from object,
for array testing (type = "array" in |
cov.mat |
the estimated covariance matrix of the estimated coefficients. |
Author(s)
The majority of this function was originally written as
summary.gt
and summary.gt.mp
by Boan Zhang for the
binGroup
package. Minor modifications were made to the function
for inclusion in the binGroup2
package.
See Also
gtReg
for creating an object of class
"gtReg".
Examples
data(hivsurv)
fit1 <- gtReg(type = "sp",
formula = groupres ~ AGE + EDUC.,
data = hivsurv, groupn = gnum,
sens = 0.9, spec = 0.9,
method = "Xie")
summary(fit1)
# 5x6 and 4x5 array
set.seed(9128)
sa2a <- gtSim(type = "array", par = c(-7, 0.1),
size1 = c(5, 4), size2 = c(6, 5),
sens = 0.95, spec = 0.95)
sa2 <- sa2a$dframe
fit2 <- gtReg(type = "array",
formula = cbind(col.resp, row.resp) ~ x,
data = sa2, coln = coln, rown = rown,
arrayn = arrayn, sens = 0.95, spec = 0.95,
linkf = "logit", n.gibbs = 1000, tol = 0.005)
summary(fit2)