Description: Generative Adversarial Networks are applied to generate generative data for a data source. In iterative training steps the distribution of generated data converges to that of the data source. An application of generative data is the created density value function which is used to classify data records. Reference: Goodfellow et al. (2014) <arXiv:1406.2661v1>.

Description: Generative Adversarial Networks are applied to generate generative data for a data source. In iterative training steps the distribution of generated data converges to that of the data source. Direct applications of generative data are the created functions for outlier detection and missing data completion. Reference: Goodfellow et al. (2014) <arXiv:1406.2661v1>.

Description: Functions for querying the 'Google Analytics' core reporting,
real-time, multi-channel funnel and management APIs, as well as the 'Google
Tag Manager' (GTM) API. Write methods are also provided for the management and
GTM APIs so that you can change tag, property or view
settings, for example. Define reporting queries using natural R expressions
instead of being concerned as much about API technical intricacies like
query syntax, character code escaping, and API limitations.
Imports: assertthat (>= 0.2.0), httpuv, httr (>= 1.0.0),
googleAnalyticsR (>= 0.5.0), jsonlite, lazyeval, lubridate,
methods, plyr, R6, rvest, stringr (>= 1.0), XML, xml2, scales,
Suggests: devtools, ggplot2, knitr, rmarkdown, testthat
Maintainer: Johann de Boer <johanndeboer@gmail.com>

googleAnalyticsR (>= 0.6.0), jsonlite, lazyeval, lubridate,
Suggests: devtools, ggplot2, knitr, rmarkdown, testthat, dplyr, purrr,

Tag Manager' (GTM) API. Write methods are also provided for the management
and GTM APIs so that you can change tag, property or view settings, for
example. Define reporting queries using natural R expressions instead of
being concerned as much about API technical intricacies like query syntax,
character code escaping, and API limitations.

Title: Genetic Algorithm optimization for real-valued problems
Description: Performs a Genetic Algorithm optimization, given a
real-valued function and the associated search space.
Packaged: 2012-12-31 23:09:54 UTC; fernandotenorio