Title: Get Data from Salesforce via the 'Windsor.ai' API
Description: Collect  your data on digital marketing campaigns from Salesforce using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Description: Flat file database designed for large vectors and multi-dimensional arrays
Packaged: Thu Nov  1 18:00:33 2007; dadler

Title: Basic statistical functions for package ff
Author: Edwin de Jonge, Jan Wijffels, Jan van der Laan
Description: Basic (statistical) functionality for package ff
Suggests: testthat, parallel, LaF, biglm
Collate: 'auxilary.R' 'chunkify.R' 'compact.R' 'cut_ff.R' 'diff_ff.R'
'droplevels.R' 'ffappend.R' 'ffdfsave.R' 'mean.R' 'pkg.R'
'transform.R' 'unique.R' 'with.R' 'ffwhich.R' 'zzz.R'
'binned_tabulate.R' 'tsum.R' 'Ops.R' 'ffmatch.R' 'save_ffdf.R'
'bySum.R' 'byMean.R' 'ffifelse.R' 'as.R' 'expand_ffgrid.R'
'ffrep.R' 'ffseq.R' 'bigglm.R' 'ikey.R' 'rle_ff.R' 'ffrandom.R'

Title: Basic Statistical Functions for Package 'ff'
Description: Extends the out of memory vectors of 'ff' with
statistical functions and other utilities to ease their usage.

Description: Implementation for min,max, mean, tabulate, table, with,

Collate: 'auxilary.R' 'chunkify.R' 'cut_ff.R' 'diff_ff.R'

'tabulate_ff.R' 'transform.R' 'unique.R' 'with.R' 'ffwhich.R'
'zzz.R' 'hist_ff.R' 'ffdfdply.R' 'quantile_ff.R' 'ffordered.R'

'bySum.R' 'byMean.R' 'key.R' 'ffifelse.R' 'as.R'

'ffrep.R' 'ffseq.R' 'bigglm.R' 'ikey.R' 'rle_ff.R'

Title: Collect ESPN Fantasy Football Data
Description: Format the raw data from the ESPN fantasy football
API <https://fantasy.espn.com/apis/v3/games/ffl/> into tidy tables.
Scrape data on public leagues, rosters, athletes, and matches.

Scrape data on public leagues, rosters, and athletes, and matches.

Title: Retrieve ESPN Fantasy Football Data
Description: Format the raw data from the ESPN fantasy football API
Retrieve data on public leagues, rosters, athletes, and matches.
Suggests: knitr (>= 1.34), rmarkdown (>= 2.11), spelling (>= 2.2),
Author: Kiernan Nicholls [aut, cre, cph]

Author: �yvind Langsrud and Bj�rn-Helge Mevik
Maintainer: Bj�rn-Helge Mevik and �yvind Langsrud <ffmanova@mevik.net>
Description: This package performs general linear modeling with multiple
responses (MANCOVA).  An overall p-value for each model term is calculated
by the 50-50 MANOVA method, which handles collinear responses.  Rotation
testing is used to compute adjusted single response p-values according to
familywise error rates and false discovery rates.