The R version 4.0.0 sets _R_CLASS_MATRIX_ARRAY_=true
, so matrix objects now also inherit from class array
. As a consequence,
the testthat unit tests had to be slightly adjusted.
Added the option to allow a user-specific treshold value for checking non-linear optimization results against zero. Resulting values are close to zero, but due to the internal used machine precision, checking against zero would be wrong. The default treshold value is 1e-6 and solution values smaller than the treshold are treated as being zero.
Added testthat
test-cases for further development.
Bug fix in Wolak's test: Corrected p-values for both test statistics.
testthat
for unit testing.
AppVeyor
for additional build tests on Microsoft Windows platforms.
CODE_OF_CONDUCT
, PULL_REQUEST_TEMPLATE
and ISSUE_TEMPLATE
for contribution to the project.
Bug fix in monoSummary
: Output results are now in number-format rather than a sequence of characters.
wolak
implements two tests from Wolak (1989, JoE) of inequality constraints in linear econometric models.
statBootstrap
implements the stationary bootstrap method from Politis & Romano (1994, JASA).
monoUpDown
implements the 'Up and Down' tests from Patton and Timmermann (2010, JFE).
monoSummary
implements the whole test for monotonicity in asset returns, based on portfolio sorts, in (JoE, 2010).
monoRelation
implements the 'monotonic relationship' tests from Patton and Timmermann (2010, JFE).
monoBonferroni
implements the test of weak monotonicity using Bonferroni bounds described in Patton and Timmermann (2010, JFE)
Wolak, Frank A. (1989): Testing Inequality Constraints in Linear Econometric Models. Journal of Econometrics, 41, p. 205-235. doi: 10.1016/0304-4076(89)90094-8.
Patton, A. and Timmermann, A. (2010): Monotonicity in asset returns: New testes with applications to the term structure, the CAPM, and portfolio sorts. Journal of Financial Economics, 98, No. 3, p. 605-625. doi: 10.1016/j.jfineco.2010.06.006.
Politis, Dimitris N. & Romano, Joseph P. (1994): The Stationary Bootstrap. Journal of The American Statistical Association, 89, No. 428, p. 1303-1313. doi: 10.1080/01621459.1994.10476870.
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