ur.kpss-class {urca} | R Documentation |
This class contains the relevant information by applying the Kwiatkowski, Phillips, Schmidt \& Shin unit root test to a time series.
y
:Object of class "vector"
: The time series to
be tested.
type
:Object of class "character"
: Test type,
"mu"
or "tau"
depending on the deterministic part.
lag
:Object of class "integer"
: Number of lags
for error term correction.
cval
:Object of class "matrix"
: Critical value
of test.
teststat
:Object of class "numeric"
: Value of
test statistic.
res
:Object of class "vector"
: Residuals of
test regression.
test.name
:Object of class "character"
: The
name of the test, i.e. ‘KPSS’.
Class urca
, directly.
Type showMethods(classes="ur.kpss")
at the R prompt for a
complete list of methods which are available for this class.
Useful methods include
show
:test statistic.
summary
:like show, but critical values, lags and test type added.
plot
:Residual plot and their acfs' and pacfs'.
Bernhard Pfaff
Kwiatkowski, D., Phillips, P.C.B., Schmidt, P. and Shin, Y., (1992), Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?, Journal of Econometrics, 54, 159–178.
Download possible at: http://cowles.econ.yale.edu/, see rubric 'Discussion Papers (CFDPs)'.
ur.kpss
and urca-class
.