Parameter space exploration with Latin Hypercubes
Andre Chalom, Paulo Inacio Knegt Lopez de Prado
Functions for creating Latin Hypercubes with
prescribed correlations and performing parameter space exploration.

Functions for creating Latin Hypercubes with
prescribed correlations and performing parameter space exploration.
Based on the package sensitivity, by Gilles Pujol,
Bertrand Iooss & Alexandre Janon.

Functions for creating Latin Hypercubes with
prescribed correlations and performing parameter space exploration.
Also implements the PLUE method.
Based on the package sensitivity, by Gilles Pujol,
Bertrand Iooss & Alexandre Janon.

Parameter Space Exploration with Latin Hypercubes

Various functions for computing pseudo-observations for
censored data regression

c(person(c("Maja","Pohar","Perme"),role="aut",email="maja.pohar@mf.uni-lj.si"),person("Mette",
"Gerster", role =
c("aut","cre"),email="mgerster@health.sdu.dk"))
Maja Pohar Perme [aut], Mette Gerster [aut, cre]
Orphaned on 2013-12-21 as maintainer address
<mgerster@health.sdu.dk> bounced.

c(person(c("Maja","Pohar","Perme"),role="aut",email="maja.pohar@mf.uni-lj.si"),person("Mette",
"Gerster", role ="aut",email="mgerster@health.sdu.dk"),person("Kevin",
"Rodrigues", role ="cre",email="kevin.asr@outlook.com"))
Various functions for computing pseudo-observations for censored data regression. Computes pseudo-observations for modeling: competing risks based on the cumulative incidence function, survival function based on the restricted mean,  survival function based on the Kaplan-Meier estimator see Klein et al. (2008) <doi:10.1016/j.cmpb.2007.11.017>.
Maja Pohar Perme [aut], Mette Gerster [aut], Kevin Rodrigues [cre]

c(person("Martin Happ", role = c("aut", "cre"),
email = "martin.happ@aon.at",
comment = c(ORCID = "0000-0003-0009-2665")),
person("Georg Zimmermann", role = "aut"),
person("Arne C. Bathke", role = "aut"),
person("Edgar Brunner", role = "aut"))
Efficient calculation of pseudo-ranks. In case of equal sample sizes, pseudo-ranks and mid-ranks are equal. When used for inference mid-ranks may lead to paradoxical results. Pseudo-ranks are in general not affected by such a problem. For details, see Brunner, E., Bathke A. C. and Konietschke, F: Rank- and Pseudo-Rank Procedures in Factorial Designs - Using R and SAS, Springer Verlag, to appear.
Martin Happ [aut, cre] (<https://orcid.org/0000-0003-0009-2665>),
Georg Zimmermann [aut],
Arne C. Bathke [aut],
Edgar Brunner [aut]