Package: kernplus
Version: 0.1.0
Date: 2017-06-07
Title: A Kernel Regression-Based Multidimensional Wind Turbine Power
        Curve
Authors@R: c(
  person("Yu", "Ding", email = "yuding@tamu.edu", role = c("aut")),
  person("Hoon", "Hwangbo", email = "hhwangbo17@gmail.com", role = c("aut","cre")))
Author: Yu Ding [aut],
  Hoon Hwangbo [aut, cre]
Maintainer: Hoon Hwangbo <hhwangbo17@gmail.com>
Copyright: Copyright (c) 2017 Y. Ding, H. Hwangbo, and Texas A&M
        University
Description: Provides wind energy practitioners with an effective machine learning-based
    tool that estimates a multivariate power curve and predicts the wind power output
    for a specific environmental condition.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: circular (>= 0.4-7), graphics (>= 3.3.0), KernSmooth (>=
        2.23-15), mixtools (>= 1.1.0), stats (>= 3.3.0)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-07 17:24:02 UTC; Bohyun
Repository: CRAN
Date/Publication: 2017-06-07 22:04:58 UTC
