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>. Önöz, B., & Bayazit, M. (2012) <doi:10.1002/hyp.8438>.

Version: 1.1.0
Depends: R (≥ 3.0.0)
Imports: boot
Suggests: trend, testthat, knitr, rmarkdown, covr
Published: 2018-06-20
Author: Sandeep Kumar Patakamuri [aut, cre], Nicole O'Brien [ctb]
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_1.1.0.tar.gz
Windows binaries: r-devel: modifiedmk_1.1.0.zip, r-release: modifiedmk_1.1.0.zip, r-oldrel: modifiedmk_1.1.0.zip
OS X binaries: r-release: modifiedmk_1.1.0.tgz, r-oldrel: modifiedmk_1.1.0.tgz
Old sources: modifiedmk archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=modifiedmk to link to this page.