Power of non-parametric Mann-Kendall test is highly influenced by serially correlated data. To address this issue, original time-series may be modified by the following approaches namely Prewhitening (PW), Trend Free Prewhitening (TFPW) and Modified Mann-Kendall tests through variance correction approaches, by calculating effective sample size. Yue, S., & Wang, C. Y. (2002) <doi:10.1029/2001WR000861>. Yue, S., Pilon, P., Phinney, B., & Cavadias, G. (2002) <doi:10.1002/hyp.1095>. Hamed, K. H., & Ramachandra Rao, A. (1998) <doi:10.1016/S0022-1694(97)00125-X>. Yue, S., & Wang, C. Y. (2004) <doi:10.1023/B:WARM.0000043140.61082.60>.
Version: | 0.1.1 |
Depends: | R (≥ 3.4.2) |
Suggests: | trend, testthat, knitr, rmarkdown, covr |
Published: | 2017-10-26 |
Author: | Sandeep Kumar Patakamuri [aut, cre] |
Maintainer: | Sandeep Kumar Patakamuri <sandeep.patakamuri at gmail.com> |
License: | AGPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | modifiedmk results |
Reference manual: | modifiedmk.pdf |
Vignettes: |
Vignette Title |
Package source: | modifiedmk_0.1.1.tar.gz |
Windows binaries: | r-devel: modifiedmk_0.1.1.zip, r-release: modifiedmk_0.1.1.zip, r-oldrel: not available |
OS X El Capitan binaries: | r-release: modifiedmk_0.1.1.tgz |
OS X Mavericks binaries: | r-oldrel: not available |
Old sources: | modifiedmk archive |
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