Running ‘00SetarAndFriends.R’ [4s/5s]
  Comparing ‘00SetarAndFriends.Rout’ to ‘00SetarAndFriends.Rout.save’ ... OK
  Running ‘GIRF_TEST.R’ [13s/17s]
  Comparing ‘GIRF_TEST.Rout’ to ‘GIRF_TEST.Rout.save’ ... OK
  Running ‘TVAR_TEST.R’ [9s/11s]
  Comparing ‘TVAR_TEST.Rout’ to ‘TVAR_TEST.Rout.save’ ... OK
  Running ‘TVECM.sim.R’ [4s/4s]
  Comparing ‘TVECM.sim.Rout’ to ‘TVECM.sim.Rout.save’ ... OK
  Running ‘TVECM_HSTEST.R’ [5s/7s]
  Comparing ‘TVECM_HSTEST.Rout’ to ‘TVECM_HSTEST.Rout.save’ ... OK
  Running ‘VAR_TEST.R’ [4s/5s]
  Comparing ‘VAR_TEST.Rout’ to ‘VAR_TEST.Rout.save’ ... OK
  Running ‘VECM_TEST.R’ [3s/5s]
  Running ‘compare_tsDyn_vars.R’ [4s/5s]
  Comparing ‘compare_tsDyn_vars.Rout’ to ‘compare_tsDyn_vars.Rout.save’ ... OK
  Running ‘irf_nlVAR_TEST.R’ [21s/24s]
  Comparing ‘irf_nlVAR_TEST.Rout’ to ‘irf_nlVAR_TEST.Rout.save’ ... OK
  Running ‘irf_nlar_TEST.R’ [12s/14s]
  Comparing ‘irf_nlar_TEST.Rout’ to ‘irf_nlar_TEST.Rout.save’ ... OK
  Running ‘linear_TEST.R’ [3s/4s]
  Comparing ‘linear_TEST.Rout’ to ‘linear_TEST.Rout.save’ ... OK
  Running ‘lstar_TEST.R’ [6s/8s]
  Running ‘nlar-methods_TEST.R’ [12s/13s]
  Comparing ‘nlar-methods_TEST.Rout’ to ‘nlar-methods_TEST.Rout.save’ ... OK
  Running ‘regime.R’ [4s/5s]
  Comparing ‘regime.Rout’ to ‘regime.Rout.save’ ... OK
  Running ‘setar.sim_TEST.R’ [4s/6s]
  Comparing ‘setar.sim_TEST.Rout’ to ‘setar.sim_TEST.Rout.save’ ... OK
  Running ‘setarTest_test.R’ [7s/10s]
  Comparing ‘setarTest_test.Rout’ to ‘setarTest_test.Rout.save’ ... OK
  Running ‘testthat.R’ [17s/22s]
  Running ‘toMlm.R’ [3s/4s]
  Comparing ‘toMlm.Rout’ to ‘toMlm.Rout.save’ ... OK
  Running ‘univ_ar_mean.R’ [3s/4s]
  Comparing ‘univ_ar_mean.Rout’ to ‘univ_ar_mean.Rout.save’ ... OK
Running the tests in ‘tests/VECM_TEST.R’ failed.
Complete output:
  > library(tsDyn)
  > 
  > 
  > data(zeroyld)
  > data(barry)
  > 
  > 
  > 
  > 
  > ## Test a few VECM models
  > vecm_OLS_l1_co <-VECM(barry, lag=1)
  > vecm_OLS_l3_co <-VECM(barry, lag=3, include="const")
  > vecm_OLS_l3_co_betaGiven<-VECM(barry, lag=3, include="const", beta=c(0.1, -0.05))
  > vecm_OLS_l1_tr <-VECM(barry, lag=1, include="trend")
  > vecm_OLS_l1_bo <-VECM(barry, lag=1, include="both")
  > vecm_OLS_l1_no <-VECM(barry, lag=1, include="none")
  > vecm_OLS_l1_coAsExo <-VECM(barry, lag=1, include="none", exogen=rep(1, nrow(barry)))
  > vecm_OLS_l3_coAsExo <-VECM(barry, lag=3, include="none", exogen=rep(1, nrow(barry)))
  > 
  > vecm_OLS_l0_co <-VECM(barry, lag=0)
  Warning message:
  In lineVar(data, lag, r = r, include = include, model = "VECM",  :
    Lag=0 not fully implemented, methods not expected to work: fevd, predict, irf,...
  > vecm_OLS_l0_tr <-VECM(barry, lag=0, include="trend")
  Warning message:
  In lineVar(data, lag, r = r, include = include, model = "VECM",  :
    Lag=0 not fully implemented, methods not expected to work: fevd, predict, irf,...
  > vecm_ML_l0_co <-VECM(barry, lag=0, include="const", estim="ML")
  Warning message:
  In lineVar(data, lag, r = r, include = include, model = "VECM",  :
    Lag=0 not fully implemented, methods not expected to work: fevd, predict, irf,...
  > vecm_ML_l0_tr <-VECM(barry, lag=0, include="trend", estim="ML")
  Warning message:
  In lineVar(data, lag, r = r, include = include, model = "VECM",  :
    Lag=0 not fully implemented, methods not expected to work: fevd, predict, irf,...
  > vecm_ML_l0_bo <-VECM(barry, lag=0, include="both", estim="ML")
  Warning message:
  In lineVar(data, lag, r = r, include = include, model = "VECM",  :
    Lag=0 not fully implemented, methods not expected to work: fevd, predict, irf,...
  > vecm_ML_l0_no <-VECM(barry, lag=0, include="none", estim="ML")
  Warning message:
  In lineVar(data, lag, r = r, include = include, model = "VECM",  :
    Lag=0 not fully implemented, methods not expected to work: fevd, predict, irf,...
  > vecm_ML_l0_LRco <-VECM(barry, lag=0, LRinclude="const", estim="ML")
  Warning messages:
  1: In lineVar(data, lag, r = r, include = include, model = "VECM",  :
    Lag=0 not fully implemented, methods not expected to work: fevd, predict, irf,...
  2: In lineVar(data, lag, r = r, include = include, model = "VECM",  :
    When `LRinclude` is either 'const' or 'both', `include` can only be `none`.
    Setting include='none'.
  > vecm_ML_l0_LRtr <-VECM(barry, lag=0, LRinclude="trend", estim="ML")
  Warning message:
  In lineVar(data, lag, r = r, include = include, model = "VECM",  :
    Lag=0 not fully implemented, methods not expected to work: fevd, predict, irf,...
  > 
  > vecm_OLS_l1_LRco <-VECM(barry, lag=1, LRinclude="const")
  Warning message:
  In lineVar(data, lag, r = r, include = include, model = "VECM",  :*** buffer overflow detected ***: terminated
  Aborted