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

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

Covariate Specific Treatment Effect (CSTE) Curve
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.
c(
person("Peng", "Wu", email = "wupeng@bicmr.pku.edu.cn", role = "aut"),
person("Wenjie", "Hu", email = "huwenjie@pku.edu.cn", role = c("aut", "cre")),
person("Yuhao", "Deng", email = "dengyuhao@pku.edu.cn", role = "aut"),
person("Xiaohua", "Zhou", email = "azhou@math.pku.edu.cn", role = "aut"))
Peng Wu [aut],
Wenjie Hu [aut, cre],
Yuhao Deng [aut],
Xiaohua Zhou [aut]

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.
c(
person("Peng", "Wu", email = "wupeng@bicmr.pku.edu.cn", role = "aut"),
person("Wenjie", "Hu", email = "huwenjie@pku.edu.cn", role = c("aut", "cre")),
person("Yuhao", "Deng", email = "dengyuhao@pku.edu.cn", role = "aut"),
person("Haoxiang", "Wang", email = "whxwhx@pku.edu.cn", role = "aut"),
person("Xiaohua", "Zhou", email = "azhou@math.pku.edu.cn", role = "aut"))
Rcpp (>= 1.0.4), fda, splines, survival, locpol, dfoptim
Peng Wu [aut],
Wenjie Hu [aut, cre],
Yuhao Deng [aut],
Haoxiang Wang [aut],
Xiaohua Zhou [aut]