c(
person("Andrew","Turpin",email="aturpin@unimelb.edu.au",role=c("cre","aut","cph")),
person("David","Lawson",role=c("ctb","cph")),
person("Matthias","Muller",role="ctb"),
person("Jonathan","Dennis",role=c("ctb","cph")),
person("Astrid","Zeman",role="ctb"))
Andrew Turpin [cre, aut, cph], David Lawson [ctb, cph], Matthias Muller [ctb], Jonathan Dennis [ctb, cph], Astrid Zeman [ctb]

opi.r compassClient.r daydreamClient.r dbTocd.r fourTwo.r
full_threshold.r full_threshold_state.r imoClient.r
kowaAP7000Client.r mocs.r multiLocation.r octopus600.r
octopus900Client.r pix2deg.r simDisplay.r simG.r simH.r
simH_RT.r simNo.r simYes.r zest.r

Mihai Giurcanu [aut, cre],
Marinela Capanu [aut, ctb],
Colin Begg [aut],
Mithat Gonen [aut]
c(person("Mihai", "Giurcanu", role = c("aut", "cre"), email = "giurcanu@uchicago.edu"),
person("Marinela", "Capanu", role = c("aut", "ctb")),
person("Colin", "Begg", role = "aut"),
person("Mithat", "Gonen", role = "aut"))
Subsampling based variable selection for low dimensional generalized linear models. The methods repeatedly subsample the data minimizing an information criterion (AIC/BIC) over a sequence of nested models for each subsample. Marinela Capanu, Mihai Giurcanu, Colin B Begg, Mithat Gonen, Subsampling based variable selection for generalized linear models.

c(person("Lijia", "Wang", role = c("aut", "cre","cph"),
email = "lijiawan@usc.edu"),
person("Xu", "Han", role = "aut"), person("Xin", "Tong", role = "aut") )
Optimal testing under general dependence. The R package implements procedures proposed in Wang, Han, and Tong (2022). The package includes parameter estimation procedures, the computation for the posterior probabilities, and the testing procedure.
Lijia Wang [aut, cre, cph],
Xu Han [aut],
Xin Tong [aut]

Several confidence intervals for the odds ratio
Computes various confidence intervals for the odds ratio of two independent binomial proportions.

Order Restricted Clustering for Microarray Experiments
Adetayo Kasim, Martin Otava, Tobias Verbeke
This package provides clustering of genes with similar
dose response (or time course) profiles. It implements the method
described by Lin et al. (2012).