# This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Library General Public # License as published by the Free Software Foundation; either # version 2 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Library General Public License for more details. # # You should have received a copy of the GNU Library General # Public License along with this library; if not, write to the # Free Foundation, Inc., 59 Temple Place, Suite 330, Boston, # MA 02111-1307 USA # Copyrights (C) # for this R-port: # 1999 - 2007, Diethelm Wuertz, GPL # Diethelm Wuertz # info@rmetrics.org # www.rmetrics.org # for the code accessed (or partly included) from other R-ports: # see R's copyright and license files # for the code accessed (or partly included) from contributed R-ports # and other sources # see Rmetrics's copyright file ################################################################################ # FUNCTION: ADF TESTS: # adfTest ADF unit root test using Banarjee's test statistics # unitrootTest ADF unit root test using McKinnon's test statistics ################################################################################ pvalue = function(object) { # A function implemented by Diethelm Wuertz # FUNCTION: # Return Value: UseMethod("pvalue") } # ------------------------------------------------------------------------------ pvalue.fHTEST = function(object) { # A function implemented by Diethelm Wuertz # FUNCTION: # p Value: pValue = object@test$p.value pNames = names(pValue) for (i in 1:length(pValue)) { if (is.null(pNames[i]) || pNames[i] == "") pNames[i] = "p.value" } names(pValue)<-pNames # Return Value: pValue } ################################################################################ test.adfTest = function() { # A time series which contains no unit-root: RNGkind(kind = "Marsaglia-Multicarry", normal.kind = "Inversion") set.seed(4711, kind = "Marsaglia-Multicarry") x = rnorm(1000) # A time series which contains a unit-root: y = cumsum(c(0, x)) # Test x: A = adfTest(x) print(A) target = round(pvalue(A), 3) print(target) current = 0.010 checkEqualsNumeric(target, current) # Test x: B = adfTest(y) print(B) target = round(pvalue(B), 3) print(target) current = 0.018 checkEqualsNumeric(target, current) # Return Value: return() } # ------------------------------------------------------------------------------ test.unitrootTest = function() { # A time series which contains no unit-root: RNGkind(kind = "Marsaglia-Multicarry", normal.kind = "Inversion") set.seed(4711, kind = "Marsaglia-Multicarry") x = rnorm(1000) # A time series which contains a unit-root: y = cumsum(c(0, x)) # Test x: A = unitrootTest(x) print(A) target = pvalue(A)[1] print(target) current = 0.001 checkTrue(target < current) target = pvalue(A)[2] print(target) current = 0.001 checkTrue(target < current) # Test x: B = unitrootTest(y) print(B) target = pvalue(B)[1] print(target) current = 0.01 checkTrue(target > current) target = pvalue(B)[2] print(target) current = 0.01 checkTrue(target > current) # Return Value: return() } ################################################################################