Title: Design and Monitoring of Clinical Trials with Negative Binomial
Description: Calculates various functions needed for design and monitoring clinical trials with negative binomial endpoint
person(given="Xiaodong", family="Luo", email = "Xiaodong.Luo@sanofi.com", role =c("aut", "cre")),
Packaged: 2018-11-11 17:43:55 UTC; Administrator

Description: Calculate various functions needed for design and monitoring clinical trials with negative binomial endpoint
with variable follow-up. This version has a few changes compared to the previous version 1.0.0, including
(1) correct a typo in Type 1 censoring, mtbnull=bnull and (2) restructure the code to account for shape parameter equal to zero, i.e. Poisson scenario.

Title: Negative Binomial Linear Discriminant Analysis
Authors@R: c(person("Dincer", "Goksuluk", role = c("aut", "cre"), email = "dincer.goksuluk@hacettepe.edu.tr"),
person("Gokmen", "Zararsiz", role = c("aut")),
person("Selcuk", "Korkmaz", role = c("aut")),
person(c("Ahmet", "Ergun"), "Karaagaoglu", role = c("ths", "aut")))
Description: We proposed a package for classification task which uses Negative Binomial distribution within Linear Discriminant Analysis (NBLDA). It is basically an extension of 'PoiClaClu' package to Negative Binomial distribution. The classification algorithms are based on the papers Dong et al. (2016, ISSN: 1471-2105) and Witten, DM (2011, ISSN: 1932-6157) for NBLDA and PLDA respectively. Although PLDA is a sparse algorithm and can be used for variable selection, the algorithm proposed by Dong et. al. is not sparse, hence, it uses all variables in the classifier. Here, we extent Dong et. al.'s algorithm to sparse case by shrinking overdispersion towards 0 (Yu et. al., 2013, ISSN: 1367-4803) and offset parameter towards 1 (as proposed by Witten DM, 2011). We support only the classification task with this version. However, the clustering task will be included with the following versions.

Authors@R: c(person("Dincer", "Goksuluk", role = c("aut", "cre"), email = "dincergoksuluk@erciyes.edu.tr"),