Package: modifiedmk
Title: Modified Mann Kendall Trend Tests with Variance Correction
        Approach
Version: 0.1.0
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 is modified by removing any trend component existing in the data and calculating effective sample size.
    Hamed, K. H., & Ramachandra Rao, A. (1998). A modified Mann-Kendall trend test for auto correlated data. Journal of Hydrology, 204(1–4), 182–196. <doi:10.1016/S0022-1694(97)00125-X>.
    Yue, S., & Wang, C. Y. (2004). The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resources Management, 18(3), 201–218. <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: testthat, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2017-10-19 14:44:26 UTC; Sandeep
Author: Sandeep Kumar Patakamuri [aut, cre]
Maintainer: Sandeep Kumar Patakamuri <sandeep.patakamuri@gmail.com>
Repository: CRAN
Date/Publication: 2017-10-19 17:35:46 UTC
