y
:"vector"
: The time series to
be tested.model
:"character"
: The model
to be used, i.e. intercept, trend or bothlag
:"integer"
: The highest
number of lags to include in the test regression.teststat
:"numeric"
: The t-statistic.cval
:"vector"
: Critical values
at the 1%, 5% and 10% level of significance.bpoint
:"integer"
: The
potential break point.tstats
:"vector"
The
t-statistics of the rolling regression.res
:"vector"
The residuals of
the test regression.test.name
:"character"
The name
of the test, i.e. `Zivot \& Andrews'.testreg
:"ANY"
The summary
output of the test regression.urca
, directly.showMethods(classes="ur.za")
at the R prompt for a
complete list of methods which are available for this class. Useful methods include
show
:summary
:plot
:Download possible at: http://cowles.econ.yale.edu/, see rubric 'Discussion Papers (CFDPs)'.
ur.za
and urca-class
.