Description: A shiny application for designing adaptive clinical trials. For
Author: Aaron Fisher <afisher@jhsph.edu>, Michael Rosenblum
Imports: shiny, knitcitations, RCurl, mvtnorm, knitr
Packaged: 2014-08-02 18:16:09 UTC; aaronfisher

Title: The Visualization of Interactive Circos Plot
Description: Implement in an efficient approach to display the genomic data, relationship, information in an interactive circular genome(Circos) plot. 'interacCircos' are inspired by 'circosJS', 'BioCircos.js' and 'NG-Circos' and we integrate the modules of 'circosJS', 'BioCircos.js' and 'NG-Circos' into this R package, based on 'htmlwidgets' framework.

Title: A Package for Full Reporting of Interaction Analyses
Description: Produces a publication-ready table that includes all effect estimates necessary for full reporting effect modification and interaction analysis as recommended by Knol and Vanderweele (2012) [<doi:10.1093/ije/dyr218>].
It also estimates confidence interval for the trio of additive interaction measures using the delta method (see Hosmer and Lemeshow (1992), [<doi:10.1097/00001648-199209000-00012>]), variance recovery method (see Zou (2008), [<doi:10.1093/aje/kwn104>]), or percentile bootstrapping (see Assmann et al. (1996), [<doi:10.1097/00001648-199605000-00012>]).
Imports: msm, car, huxtable, officer, flextable

Title: Full Reporting of Interaction Analyses

Title: Calculate Estimates in Models with Interaction
Description: A tool to calculate and plot estimates from models
in which an interaction between the main predictor and a continuous covariate has been specified.
Methods used in the package refer to Harrell Jr FE (2015, ISBN:9783319330396);
Imports: graphics, grDevices, stats, utils, methods, parallel,
survival, msm, rms, boot, pspline, pryr, mlbench
Author: Giorgio Melloni [aut, cre] (<https://orcid.org/0000-0001-6371-1334>),

Title: Calculates Critical Test Statistics to Control False Discovery
and Familywise Error Rates in Marginal Effects Plots
Author: Justin Esarey and Jane Lawrence Sumner
Description: Implements the procedures suggested in Esarey and Sumner (2017) <URL:https://goo.gl/riqX7Q> for controlling the false discovery rate or familywise error rate when constructing marginal effects plots for models with interaction terms.
Packaged: 2017-03-21 15:43:45 UTC; Justin Esarey