Title: Variable Selection for Optimal Treatment Decision
Author: Wenbin Lu, Hao Helen Zhang, Donglin Zeng, Yuan Geng, and Shannon Holloway
Description: A penalized regression framework that can simultaneously estimate the optimal treatment strategy and identify important variables. Appropriate for either censored or uncensored continuous response.

Author: Wenbin Lu, Hao Helen Zhang, Donglin Zeng, Yuan Geng, and
Description: A penalized regression framework that can simultaneously estimate
the optimal treatment strategy and identify important variables.
Appropriate for either censored or uncensored continuous response.

Title: North Temperate Lakes - Microbial Observatory 16S Time Series
Description: Analyses of OTU tables produced by 16S sequencing, as well as example data. It contains the data and scripts used in the paper Linz, et al. (2016) "Seasonal mixing as a barrier to the development of stable bacterial communities in bog lakes" (Manuscript in prep).

Description: Analyses of OTU tables produced by 16S sequencing, as well as example data. It contains the data and scripts used in the paper Linz, et al. (2017) "Bacterial community composition and dynamics spanning five years in freshwater bog lakes" (Manuscript submitted, preprint available at <http://biorxiv.org/content/early/2017/04/12/127035>).

Description: Analyses of OTU tables produced by 16S rRNA gene amplicon sequencing, as well as example data. It contains the data and scripts used in the paper Linz, et al. (2017) "Bacterial community composition and dynamics spanning five years in freshwater bog lakes," <doi: 10.1128/mSphere.00169-17>.

Title: Mean Partition, Uncertainty Assessment, Cluster Validation and
Visualization Selection for Cluster Analysis
Authors@R: c(person("Lixiang", "Zhang", email = "lzz46@psu.edu", role = c("aut", "cre")),person("Beomseok", "Seo", email = "bzs32@psu.edu", role = "aut"),person("Lin", "Lin", email = "llin@psu.edu", role = "aut"),person("Jia", "Li", email = "jiali@psu.edu", role = "aut"))
Description: Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures for both partition-wise and cluster-wise assessment and multiple visualization functions to show uncertainty, for instance, membership heat map and plot of covering point set. A partition refers to an overall clustering result.
Suggests: knitr, rmarkdown, tsne, umap, HDclust, dbscan, flexclust,
Imports: Rcpp, ggplot2, RColorBrewer, magrittr, class
Packaged: 2019-05-05 15:06:35 UTC; zhanglixiang