person(given = "Junhao", family = "Huang", email = "huangjh256@mail2.sysu.edu.can", role = c("aut")),
person(given = "Xueqin", family = "Wang", email = "wangxq20@ustc.edu.cn", role = c("aut"), comment = c(ORCID = "0000-0001-5205-9950")),
person("spectra contributors", role = c("cph"), comment = "Spectra implementation")
Description: Extremely efficient toolkit for solving the best subset selection problem in linear regression, logistic regression, Poisson regression, Cox proportional hazard model, multiple-response regression, multinomial logistic regression, and (sequential) principal component analysis. It implements and generalizes algorithms designed in <doi:10.1073/pnas.2014241117> that exploits a novel sequencing-and-splicing technique to guarantee exact support recovery and globally optimal solution in polynomial times.
spectra contributors [cph] (Spectra implementation)

person(given = "Junhao", family = "Huang", email = "huangjh256@mail2.sysu.edu.cn", role = c("aut")),
person(given = "Shiyun", family = "Lin", email = "shiyunlin@stu.pku.edu.cn", role = c("aut")),
person(given = "Junxian", family = "Zhu", email = "adaizjx@163.com", role = c("aut")),

person(given = "Zezhi", family = "Wang", email = "homura@mail.ustc.edu.cn", role = c("aut")),
person(given = "Borui", family = "Tang", email = "tangborui@mail.ustc.edu.cn", role = c("aut")),
Description: Extremely efficient toolkit for solving the best subset selection problem <arXiv:2110.09697>. This package is its R interface. The package implements and generalizes algorithms designed in <doi:10.1073/pnas.2014241117> that exploits a novel sequencing-and-splicing technique to guarantee exact support recovery and globally optimal solution in polynomial times for linear model. It also supports best subset selection for logistic regression, Poisson regression, Cox proportional hazard model, Gamma regression, multiple-response regression, multinomial logistic regression, (sequential) principal component analysis, and robust principal component analysis. The other valuable features such as the best subset of group selection <arXiv:2104.12576> and sure independence screening <doi:10.1111/j.1467-9868.2008.00674.x> are also provided.