Title: Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain
Author: Koen W. De Bock, Kristof Coussement and Stefan Lessmann
Maintainer: Koen W. De Bock <kdebock@audencia.com>
Description: Functions for cost-sensitive multi-criteria ensemble selection (CSMES) (as described in De bock et al. (2020) <doi:10.1016/j.ejor.2020.01.052>) for cost-sensitive learning under unknown cost conditions.

Title: Extract information from an html document with CSS selectors
Description: The package provides functions that facilitate extraction
of information from an html document by using css selectors

Description: The package provides functions that facilitate extraction of information from an html document by using css selectors instead of xpath queries.

Title: Covariate Specific Treatment Effect (CSTE) Curve
Description: A uniform  statistical inferential tool in making
individualized treatment decisions, which implements the methods of
It uses a flexible semiparametric modeling strategy for heterogeneous treatment effect
estimation in high-dimensional settings and can gave valid confidence bands. Based on it,
one can find the subgroups of patients that benefit from each treatment, thereby  making
person("Wenjie", "Hu", email = "huwenjie@pku.edu.cn", role = c("aut", "cre")),
person("Yuhao", "Deng", email = "dengyuhao@pku.edu.cn", role = "aut"),
Imports: Rcpp (>= 1.0.4), fda, splines, survival

Description: A uniform  statistical inferential tool in making individualized treatment decisions, which implements the methods of Ma et al. (2017)<DOI:10.1177/0962280214541724>
and Guo et al. (2021)<DOI:10.1080/01621459.2020.1865167>. It uses a flexible semiparametric modeling strategy for heterogeneous treatment effect estimation in high-dimensional settings and can gave valid confidence bands. Based on it, one can find the subgroups of patients that benefit from each treatment, thereby making individualized treatment selection.
person("Haoxiang", "Wang", email = "whxwhx@pku.edu.cn", role = "aut"),
Imports: Rcpp (>= 1.0.4), fda, splines, survival, locpol, dfoptim