person("Nadra", "Pencle", role = c('dtc', "cph")), person("Irina", "Malaescu", role = c('dtc', "cph"))

Title: Lexicons for Portuguese Text Analysis
Authors@R: person("Sillas", "Gonzaga", email = "sillas.gonzaga@gmail.com",
Description: Provides easy access for sentiment lexicons for those who want to do text analysis in Portuguese texts.
As of now, two Portuguese lexicons are available: 'SentiLex-PT02' and 'OpLexicon' (v2.1 and v3.0).

Authors@R: c(person("Paul", "Bailey", role=c("aut", "cre"), email="pbailey@air.org"))
Description: Provides an extension to factors called 'lfactor' that are similar to factors but allow users to refer to 'lfactor' levels by either the level or the label.

Depends: R (>= 3.1.0), methods, stats, utils

Description: Provides an extension to factors called 'lfactor' that are similar
to factors but allow users to refer to 'lfactor' levels by either the level or

to factors but allows users to refer to 'lfactor' levels by either the level or

Title: Log Fold Change Distribution Tools for Working with Ratios of
Description: Ratios of count data such as obtained from RNA-seq are modelled
using Bayesian statistics to derive posteriors for effects sizes. This
approach is described in Erhard & Zimmer (2015) <doi:10.1093/nar/gkv696>
Suggests: knitr, rmarkdown, DESeq2, SummarizedExperiment, airway

Title: Local Fisher Discriminant Analysis
Author: Yuan Tang <terrytangyuan@gmail.com> with great contributions from Zachary Deane-Mayer.
Description: Functions for performing and visualizing Local Fisher Discriminant Analysis(LFDA) and Kernel Fisher Discriminant Analysis(KLFDA).

Description: Functions for performing and visualizing Local Fisher Discriminant Analysis(LFDA), Kernel Fisher Discriminant Analysis(KLFDA), and Semi-supervised Local Fisher Discriminant Analysis(SELF).

Author: Yuan Tang <terrytangyuan@gmail.com> and Zachary Deane-Mayer with contributions from Nan Xiao.

Author: Yuan Tang. Contributions from Nan Xiao and Zachary Deane-Mayer.
Description: Functions for performing and visualizing Local Fisher Discriminant
Analysis(LFDA), Kernel Fisher Discriminant Analysis(KLFDA), and Semi-supervised