'auxilary.R' 'chunkify.R' 'compact.R' 'cut_ff.R' 'diff_ff.R'
'droplevels.R' 'ffappend.R' 'ffdfsave.R' 'mean.R' 'pkg.R'
'subset.R' 'Summary_ff.R' 'table_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'
'laf_to_ffdf.R' 'ffdfwith.R' 'cumsum.R' 'merge.R'
'duplicated.R' 'isNA.R' 'binned_sum.R' 'binned_sumsq.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'
'date_formatting.R' 'rbind_ffdf.R' 'logging.R' 'rev_ff.R'

person(given = "Kiernan",
family = "Nicholls",
role = c("aut", "cre"),
email = "kiernann@protonmail.com")
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.

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, and athletes, and matches.

person(given = "Kiernan",
family = "Nicholls",
role = c("aut", "cre", "cph"),
email = "kiernann@protonmail.com")
Format the raw data from the ESPN fantasy football API
<https://fantasy.espn.com/apis/v3/games/ffl/> as data frames.
Retrieve data on public leagues, rosters, athletes, and matches.

Bjørn-Helge Mevik and Øyvind Langsrud <ffmanova@mevik.net>
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.

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.