# Get Model Summaries for Use with “mtable”¶

## Description¶

A generic function and methods to collect coefficients and summary
statistics from a model object. It is used in `mtable`

## Usage¶

```
## S4 method for signature 'lm'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'glm'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'merMod'
getSummary(obj, alpha=.05, ...)
# These are contributed by Christopher N. Lawrence
## S4 method for signature 'clm'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'polr'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'simex'
getSummary(obj, alpha=.05,...)
# These are contributed by Jason W. Morgan
## S4 method for signature 'aftreg'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'coxph'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'phreg'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'survreg'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'weibreg'
getSummary(obj, alpha=.05,...)
# These are contributed by Achim Zeileis
## S4 method for signature 'ivreg'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'tobit'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'hurdle'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'zeroinfl'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'betareg'
getSummary(obj, alpha=.05,...)
## S4 method for signature 'multinom'
getSummary(obj, alpha=.05,...)
# These are contributed by Dave Atkins
# Method for 'glm' objects - to report
# exponentiated coefficients.
getSummary_expcoef(obj, alpha=.05,...)
## S4 method for signature 'glm'
getSummary_expcoef(obj, alpha=.05,...)
```

## Arguments¶

`obj`

a model object, e.g. of class

`lm`

or`glm`

`alpha`

level of the confidence intervals; their coverage should be 1-alpha/2

`...`

further arguments; ignored.

## Value¶

Any method of `getSummary`

must return a list with the following
components:

- coef
an array with coefficient estimates; the lowest dimension

*must*have the following names and meanings:`est`

the coefficient estimates,

`se`

the estimated standard errors,

`stat`

t- or Wald-z statistics,

`p`

significance levels of the statistics,

`lwr`

lower confidence limits,

`upr`

upper confidence limits.

The higher dimensions of the array correspond to the individual coefficients and, in multi-equation models, to the model equations.

- sumstat
a vector containing the model summary statistics; the components may have arbitrary names.

## Details¶

The generic function `getSummary`

is called by `mtable`

in order to
obtain the coefficients and summaries of model objects. In order to
adapt `mtable`

to models of classes other than `lm`

or `glm`

one
needs to define `getSummary`

methods for these classes and to set a
summary template via `setSummaryTemplate`