Depends: R (>= 3.5.0), lme4, methods, parallel
Packaged: 2019-12-08 22:48:24 UTC; jefflaake

Title: Power calculation for marker detection strategies in Genome-wide
Description: This package calcuates statistical power of detecting
associated markers based on one of the model selection
strategies: marginal selection, exhaustive search, or forward
selection. With assumed genetic effects (including interaction
effect), allele frequencies, noise level, sample size, number
of genotyped markers, and control level (i.e. number of
markers/models intended to select), this package provides fast
and accurate consultation on power of different model selection
strategies. It helps researchers to decide a more efficient way
for marker detection in genome-wide association studies.

Title: Marker Gene Detection via Penalized Principal Component Analysis
Author: Yixuan Qiu, Jiebiao Wang, Jing Lei, and Kathryn Roeder
Description: Implementation of the 'MarkerPen' algorithm, short for marker gene detection
via penalized principal component analysis, described in the paper by Qiu, Wang, Lei,
algorithm for detecting marker genes by combining prior marker information with bulk
Imports: Rcpp (>= 1.0.1), RSpectra, stats
Suggests: knitr, rmarkdown, prettydoc, scales

Title: Enhanced Analytics for Marketers Navigating the Ocean of Web
Description: Provides a web analytics toolbox for marketers using services such as Google Analytics, Facebook Insights, etc.
Imports: Rfacebook, forecast, zoo, plyr, dplyr, ggplot2, xlsx, grid,
scales, shiny, rmarkdown, knitr, ggthemes
Packaged: 2015-09-09 20:11:31 UTC; felixmikaelian

Packaged: 2015-10-21 08:09:21 UTC; felixmikaelian

Title: Tidy Calculation of Marketing Metrics Plus Quick Analysis
Description: Facilitates tidy calculation of popular quantitative marketing
metrics. It also includes functions for doing analysis that will help
marketers and data analysts better understand the drivers and/or trends
of these metrics. These metrics include Customer Experience Index
<https://go.forrester.com/analytics/cx-index/> and Net Promoter Score
Imports: dplyr (>= 0.8.3), magrittr (>= 1.5), tidyr (>= 1.0.0), tibble