Title: Data sets for package ``LMERConvenienceFunctions''
Author: Antoine Tremblay, Department of Psychology, Dalhousie University
Description: This package contains (1) event-related brain potential data recorded from 10 participants at electrodes Fz, Cz, Pz, and Oz (0--300 ms) in the context of Antoine Tremblay's PhD thesis (Tremblay, 2009); (2) ERP amplitudes at electrode Fz restricted to the 100 to 175 millisecond time window; and (3) plotting data generated from a linear mixed-effects model from Tremblay & Newman (In Preparation).

Description: This package contains (1) event-related brain potential data recorded from 10 participants at electrodes Fz, Cz, Pz, and Oz (0--300 ms) in the context of Antoine Tremblay's PhD thesis (Tremblay, 2009); (2) ERP amplitudes at electrode Fz restricted to the 100 to 175 millisecond time window; and (3) plotting data generated from a linear mixed-effects model.

Title: Bayesian Nonparametric Latent-Class Capture-Recapture
Description: Bayesian population size estimation using non parametric latent-class models.

Title: Bayesian Non-Parametric Latent-Class Capture-Recapture
Collate: ArrayUtils.R MCMCenv_refClass.R CR_Support.R Lcm_CR_fn.R

Title: A Tool for Selecting Genes Related to Survival Outcomes using
Author: Jiehuan Sun [aut, cre], Jose D. Herazo-Maya [aut], Jane-Ling Wang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut]
Description: Longitudinal genomics data and survival outcome are common in biomedical studies. It is of great interest to select genes related to the survival outcome. LCox is a computationally efficient tool for selecting genes related to the survival outcome using the longitudinal genomics data. LCox is powerful to detect different forms of dependence between the longitudinal biomarkers and the survival outcome.
Packaged: 2017-07-17 16:07:52 UTC; JiehuanSun

Title: Biplot Graphical Interface for LDA Models
Description: Contains the development of a tool that provides a web-based graphical
user interface (GUI) to perform Biplots representations from a scraping of
news from digital newspapers under the Bayesian approach of Latent Dirichlet
Assignment (LDA) and machine learning algorithms. Contains LDA methods
described by Blei , David M., Andrew Y. Ng and Michael I. Jordan (2003)
and Biplot methods described by Gabriel K.R(1971) <doi:10.1093/biomet/58.3.453>
Imports: shiny, shinyBS, shinydashboard, shinyWidgets, shinyalert,
shinybusy, shinyjs, shinycssloaders, dplyr, ggplot2, rvest, DT,
highcharter, tidyr, SnowballC, ldatuning, topicmodels,
textmineR, chinese.misc, stringr, htmlwidgets, ggrepel,
textplot, glasso, qgraph, Matrix, utils, factoextra, quanteda
Suggests: rmarkdown, knitr, beepr, readxl