igraph (>= 1.0.1), lazyeval (>= 0.2.0), methods, utils
Collate: 'rPref.r' 'RcppExports.R' 'pref-classes.r' 'base-pref.r'
Packaged: 2016-12-17 14:33:23 UTC; Patrick Roocks

frontier, also known as (Top-k) Skyline operator (see Börzsönyi, et al.
known as database preferences (see Kießling (2002)
igraph (>= 1.0.1), lazyeval (>= 0.2.1), methods, utils

Title: Package allowing R to call Python
Description: This package permits calls to Python from R

Title: Package Allowing R to Call Python
Description: Run Python code, make function calls,  assign and retrieve variables, etc. from R.

Description: Constructs robust quality control chart based on the median and Hodges-Lehmann estimators (location) and the median absolute deviation (MAD) and Shamos estimators (scale) which are unbiased with a sample of finite size. For more details, see Park, Kim and Wang (2019)<arXiv:1908.00462>. This work was partially supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (No. NRF-2017R1A2B4004169).

Author: Chanseok Park [aut, cre] (<https://orcid.org/0000-0002-2208-3498>),
Description: Constructs robust quality control chart based on the median or Hodges-Lehmann estimator (location) and the median absolute deviation (MAD) or Shamos estimator (scale). These estimators are all unbiased with a sample of finite size. For more details, see Park, Kim and Wang (2020) <doi:10.1080/03610918.2019.1699114>. This work was partially supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (NRF-2017R1A2B4004169).

Description: Constructs robust quality control chart based on the median or Hodges-Lehmann estimator (location) and the median absolute deviation (MAD) or Shamos estimator (scale). These estimators are all unbiased with a sample of finite size. For more details, see Park, Kim and Wang (2020) <doi:10.1080/03610918.2019.1699114>. In addition, using this package, the conventional quality control charts such as X-bar, S and R charts are also easily constructed. This work was partially supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (NRF-2017R1A2B4004169).