some other guys, mainly for package development.
"j.bossek@gmail.com", role = "aut"), person("Daniel", "Horn",

Imports: checkmate (>= 1.8.0), data.table, methods, utils, stats

person("Bernd", "Bischl", , "bernd_bischl@gmx.net", role = c("aut", "cre")),
person("Michel", "Lang", , "michellang@gmail.com", role = "aut"),
person("Jakob", "Bossek", , "j.bossek@gmail.com", role = "aut"),
person("Daniel", "Horn", , "daniel.horn@tu-dortmund.de", role = "aut"),
person("Jakob", "Richter", , "code@jakob-r.de", role = "aut"),
person("Dirk", "Surmann", , "surmann@statistik.tu-dortmund.de", role = "aut")
Imports: checkmate (>= 1.8.0), data.table, methods, stats, utils

Suggests: testthat, snowfall, parallel, Rmpi
Collate: 'addClasses.R' 'argsAsNamedList.R' 'catf.R' 'checkArg.R'

'messagef.R' 'namedList.R' 'names2.R' 'notin.R' 'pause.R'
'rowLapply.R' 'save2.R' 'seq.R' 'setAttribute.R' 'setClasses.R'
'suppressAll.R' 'system3.R' 'toRangeStr.R' 'warningf.R' 'zzz.R'

"Richter", email = "code@jakob-r.de", role = "aut"))

Depends: R (>= 2.6.0), car, clv, cluster, class, rpart, nnet, rgl,
Description: Underlying support functions for RcmdrPlugin.BCA and a
companion to the book Customer and Business Analytics: A

Depends: R (>= 2.6.0), car, clv, cluster, class, flexclust, rpart,
Description: Underlying support functions for RcmdrPlugin.BCA and a companion
to the book Customer and Business Analytics: Applied Data Mining for
Business Decision Making Using R by Daniel S. Putler and Robert E. Krider

companion to the book Customer and Business Analytics: Applied
Data Mining for Business Decision Making Using R by Daniel S.

Title: Block Coordinate Ascent with One-Step Generalized Rosen
Author: Wang Yudong, Ye Zhisheng, and Cao Hongyuan
Description: Implementing the Block Coordinate Ascent with One-Step Generalized Rosen (BCA1SG) algorithm on the semiparametric models for panel count data, interval-censored survival data, and degradation data. A comprehensive description of the BCA1SG algorithm can be found in Wang et al. (2020) <https://github.com/yudongstat/BCA1SG/blob/master/BCA1SG.pdf>. For details of the semiparametric models for panel count data, interval-censored survival data, and degradation data, please see Wellner and Zhang (2007) <doi:10.1214/009053607000000181>, Huang and Wellner (1997) <ISBN:978-0-387-94992-5>, and Wang and Xu (2010) <doi:10.1198/TECH.2009.08197>, respectively.