coef.logitx: Extraction functions for 'logitx' objects

In gets: General-to-Specific (GETS) Modelling and Indicator Saturation Methods

Extraction functions for 'logitx' objects

Description

Extraction functions (of type S3 methods) for objects of class 'logitx'

Usage

  ## S3 method for class 'logitx'
coef(object, ...)
  ## S3 method for class 'logitx'
fitted(object, zero.prob=FALSE, ...)
  ## S3 method for class 'logitx'
logLik(object, ...)
  ## S3 method for class 'logitx'
plot(x, ...)
  ## S3 method for class 'logitx'
print(x, signif.stars=TRUE, ...)
  ## S3 method for class 'logitx'
summary(object, ...)
  ## S3 method for class 'logitx'
toLatex(object, digits = 4, gof = TRUE, nonumber = FALSE, nobs = "T", ...)
  ## S3 method for class 'logitx'
vcov(object, ...)

Arguments

object	an object of class 'logitx'
x	an object of class 'logitx'
zero.prob	logical. If FALSE (default), then the probabilities of a one are returned as fitted values. If TRUE, then the zero probabilities are returned as fitted values
signif.stars	logical. If TRUE, then p-values are additionally encoded visually, see printCoefmat
digits	integer, the number of digits in the LaTeX print
gof	logical that determines whether goodness-of-fit information should be included in the LaTeX print
nonumber	logical that determines whether a "nonumber" tag should be added to each equation in the LaTeX print
nobs	character that determines the label for the number of observations in the LaTeX print
...	additional arguments

Value

Various, depending on the method

Author(s)

Genaro Sucarrat, http://www.sucarrat.net/

See Also

logitx, logitxSim, gets.logitx

Examples

##simulate from ar(1):
set.seed(123) #for reproducibility
y <- logitxSim(100, ar=0.3)

##estimate and store result:
mymod <- logitx(y, ar=1)

##extract stuff:
coef(mymod)
fitted(mymod)
logLik(mymod)
plot(mymod)
print(mymod)
summary(mymod)
toLatex(mymod)

gets documentation built on Sept. 11, 2024, 9:03 p.m.