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
orglm
alpha

level of the confidence intervals; their coverage should be 1alpha/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 Waldz 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 multiequation 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