Maintainer: Anderson, Michael P. (HSC) <Michael-Anderson@ouhsc.edu>

Title: Bootstrapped Differences of Time Series
Author: Michael Seedorff, Jacob Oleson, Joseph Cavanaugh, Bob McMurray, and Grant Brown
Imports: parallel, doParallel, doRNG, foreach
Description: Analyze differences among time series curves with Oleson et al's modified p-value technique.

Author: Michael Seedorff, Jacob Oleson, Grant Brown, Joseph Cavanaugh, and Bob McMurray
Description: Analyze differences among time series curves with p-value adjustment for multiple comparisons introduced in Oleson et al (2015) <DOI:10.1177/0962280215607411>.

Author: Collin Nolte, Michael Seedorff, Jacob Oleson, Grant Brown,
Imports: nlme, mvtnorm, parallel, stats, graphics, utils

Description: Analyze differences among time series curves with p-value
adjustment for multiple comparisons introduced in Oleson et al

Imports: nlme, mvtnorm, parallel, stats, graphics, utils, ggplot2,

Title: Big Data Preprocessing Architecture
Provide a tool to easily build customized data flows to pre-process large volumes
of information from different sources. To this end, 'bdpar' allows to (i) easily use and
create new functionalities and (ii) develop new data source extractors according to the
user needs. Additionally, the package provides by default a predefined data flow
to extract and pre-process the most relevant information (tokens, dates, ... ) from some textual
sources (SMS, Email, tweets, YouTube comments).
Imports: ini, magrittr, pipeR, purrr, R6, rlist, svMisc, tools, utils
Suggests: cld2, knitr, readr, rex, rjson, rmarkdown, rtweet, stringi,
stringr, testthat (>= 2.1.1), textutils, tuber
Author: Miguel Ferreiro-Díaz [aut, cre],

Imports: magrittr, pipeR, purrr, R6, rlist, tools, utils
stringr, testthat (>= 2.3.1), textutils, tuber

Imports: digest, parallel, R6, rlist, tools, utils
Suggests: cld2, knitr, rex, rjson, rmarkdown, rtweet, stringi, stringr,
SystemRequirements: Python (>= 2.7 or >= 3.6)
Collate: 'AbbreviationPipe.R' 'bdpar.log.R' 'wrapper.R' 'Bdpar.R'