modifiedmk: Modified Mann Kendall Trend Tests

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 approach 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: 0.1.2
Depends: R (≥ 3.2.0)
Suggests: trend, testthat, knitr, rmarkdown, covr, roxygen2
Published: 2018-03-03
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

Downloads:

Reference manual: modifiedmk.pdf
Vignettes: Vignette Title
Package source: modifiedmk_0.1.2.tar.gz
Windows binaries: r-devel: modifiedmk_0.1.2.zip, r-release: modifiedmk_0.1.2.zip, r-oldrel: modifiedmk_0.1.2.zip
OS X binaries: r-release: modifiedmk_0.1.2.tgz, r-oldrel: modifiedmk_0.1.2.tgz
Old sources: modifiedmk archive

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