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 |

`...` |
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.

### Value

`summary.gt.mp` returns an object of class `"summary.gt.mp"`, a list with components

`call` |
the component from |

`link` |
the component from |

`coefficients` |
the matrix of coefficients, standard errors, z-values and p-values. |

`counts` |
the component from |

`Gibbs.sample.size` |
the component from |

`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 the 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(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)
```

*binGroup*version 2.2-1 Index]