Title: Conditional Distance Correlation Based Feature Screening and
Description: Conditional distance correlation <doi:10.1080/01621459.2014.993081> is a novel conditional dependence measurement of two multivariate random variables given a confounding variable. This package provides conditional distance correlation, performs the conditional distance correlation sure independence screening procedure for ultrahigh dimensional data <doi:10.5705/ss.202014.0117>, and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.
Author: Wenhao Hu, Mian Huang, Wenliang Pan, Xueqin Wang, Canhong Wen, Yuan Tian, Heping Zhang, Jin Zhu

Description: Conditional distance correlation <doi:10.1080/01621459.2014.993081> is a novel conditional dependence measurement of two multivariate random variables given a confounding variable. This package provides conditional distance correlation, performs the conditional distance correlation sure independence screening procedure for ultrahigh dimensional data <http://www3.stat.sinica.edu.tw/statistica/J28N1/J28N114/J28N114.html>, and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.
Imports: ks (>= 1.8.0), mvtnorm, utils, Rcpp

Title: Download Data from the Catchment Data Explorer Website
Authors@R: person("Rob", "Briers", email = "r.briers@napier.ac.uk",
Description: Facilitates searching, download and plotting of Water Framework
Directive (WFD) reporting data for all waterbodies within the UK Environment
Agency area. The types of data that can be downloaded are: WFD status
classification data, Reasons for Not Achieving Good (RNAG) status,
objectives set for waterbodies, measures put in place to improve water
quality and details of associated protected areas. The site accessed is
<https://environment.data.gov.uk/catchment-planning/>. The data are made
available under the Open Government Licence v3.0
This package has been peer-reviewed by rOpenSci (v. 0.4.0).
Imports: graphics, utils, data.table, viridisLite
Author: Rob Briers [aut, cre] (<https://orcid.org/0000-0003-0341-1203>)