getSummary memisc 0.99.26.3

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