Running 'testthat.R' [70s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(mfGARCH)
  > 
  > test_check("mfGARCH")
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "No frequency specified for calculating the variance ratio - default: low.freq = date"
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "No frequency specified for calculating the variance ratio - default: low.freq = date"
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "No frequency specified for calculating the variance ratio - default: low.freq = week"
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "No frequency specified for calculating the variance ratio - default: low.freq = week"
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "No frequency specified for calculating the variance ratio - default: low.freq = week"
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "No frequency specified for calculating the variance ratio - default: low.freq = week"
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "No frequency specified for calculating the variance ratio - default: low.freq = week"
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "Specifying two covariates may lead to long estimation times."
  -- 1. Error: Esimtation two covariates (@test-estimation.R#73)  ----------------
  DLL 'dplyr' not found: maybe not installed for this architecture?
  Backtrace:
    1. testthat::expect_equal(...)
    8. dplyr::filter
    9. base::getExportedValue(pkg, name)
   10. base::asNamespace(ns)
   11. base::getNamespace(ns)
   12. base::loadNamespace(name)
   13. base::library.dynam(lib, package, package.lib)
  
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  [1] "For ensuring numerical stability of the parameter optimization and inversion of the Hessian, it is best to multiply log returns by 100."
  == testthat results  ===========================================================
  [ OK: 11 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 1 ]
  1. Error: Esimtation two covariates (@test-estimation.R#73) 
  
  Error: testthat unit tests failed
  Execution halted