Package: modifiedmk
Title: Modified Mann Kendall Trend Tests
Version: 0.1.1
Authors@R: person("Sandeep Kumar", "Patakamuri", email = "sandeep.patakamuri@gmail.com", role = c("aut", "cre"))
Description: 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>.
Depends: R (>= 3.4.2)
License: AGPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Suggests: trend, testthat, knitr, rmarkdown, covr
NeedsCompilation: no
Packaged: 2017-10-26 15:16:02 UTC; Sandeep
Author: Sandeep Kumar Patakamuri [aut, cre]
Maintainer: Sandeep Kumar Patakamuri <sandeep.patakamuri@gmail.com>
Repository: CRAN
Date/Publication: 2017-10-26 21:13:19 UTC
