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nflfastR vs vinereg

A side-by-side editorial comparison of nflfastR and vinereg — release velocity, themes, recent moves, and the top alternatives to consider.

nflfastR vs vinereg: at a glance

FeaturenflfastRvinereg
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessports analytics, nflverse, api consolidation, play-by-play datar-package, copulas, regression, conditional-density
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is nflfastR?

nflfastR is shedding surface to the rest of nflverse and consolidating on one stats API.

The play-by-play backbone of nflverse, shipping one or two releases a year with long bug-fix lists against decades of NFL data. Since 5.0.0 the package has had a single calculate_stats() entry point that replaces the older calculate_player_stats*() family, backed by an exported nfl_stats_variables table describing every returned column. The last two releases hand work outward — standings moved to nflseedR, and the loaders are now straight re-exports of nflreadr — while fast_scraper_roster(), fast_scraper_schedules() and report() are formally deprecated.

Read the full nflfastR trajectory →

What is vinereg?

Conditional density and log-likelihood fill out a vine copula regression package.

vinereg fits D-vine copula-based regression models on top of rvinecopulib and kde1d, in Thomas Nagler's package stack. The January 2025 pair - 0.10.0 and 0.11.0 tagged the same day - adds a pdf() function and then fixes conditional density computation for discrete variables while requiring the newer kde1d. Release notes run to one or two bullets each.

Read the full vinereg trajectory →

nflfastR vs vinereg: editorial side-by-side

N
nflfastR
ANALYTICS
0.0

nflfastR is shedding surface to the rest of nflverse and consolidating on one stats API.

◆ Current state

The play-by-play backbone of nflverse, shipping one or two releases a year with long bug-fix lists against decades of NFL data. Since 5.0.0 the package has had a single calculate_stats() entry point that replaces the older calculate_player_stats*() family, backed by an exported nfl_stats_variables table describing every returned column. The last two releases hand work outward — standings moved to nflseedR, and the loaders are now straight re-exports of nflreadr — while fast_scraper_roster(), fast_scraper_schedules() and report() are formally deprecated.

◆ Where it's heading

nflfastR is becoming the parsing and modelling core rather than the whole toolkit. Every recent release either narrows its own API or points users at a sibling package, and the documentation strategy follows: re-exported functions are deliberately undocumented here so nflreadr stays the single source. The remaining in-house work is data correctness — duplicated play IDs, scramble identification, new penalty types — plus keeping the xgboost-backed models running as that dependency moves.

◆ Prediction

The deprecated scrapers and report() are the next things to be removed outright, and the calculate_player_stats*() family should follow, leaving calculate_stats() as the only supported path.

V
vinereg
ANALYTICS
0.0

Conditional density and log-likelihood fill out a vine copula regression package.

◆ Current state

vinereg fits D-vine copula-based regression models on top of rvinecopulib and kde1d, in Thomas Nagler's package stack. The January 2025 pair - 0.10.0 and 0.11.0 tagged the same day - adds a pdf() function and then fixes conditional density computation for discrete variables while requiring the newer kde1d. Release notes run to one or two bullets each.

◆ Where it's heading

Work has concentrated on evaluation rather than fitting: cll() in 0.9.0, pdf() in 0.10.0, and the discrete-variable correction in 0.11.0 all concern what can be computed from a model already fitted. Releases arrive in same-day pairs, and the notes are terse enough that 0.10.0 reuses 0.9.0's wording verbatim, describing pdf() with cll()'s sentence. Version floors also track the sibling packages - kde1d here, rvinecopulib in 0.8.3.

◆ Prediction

Given the shared release rhythm across the stack, the next entry is as likely to be a dependency-driven bump as a new function; the discrete-variable path is the one area these notes show as recently unstable.

Alternatives to nflfastR and vinereg

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either nflfastR or vinereg.

See all nflfastR alternatives → · See all vinereg alternatives →

Recent activity from nflfastR and vinereg

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 6mo agonflfastRLoaders re-exported from nflreadr; legacy scrapers deprecated
  2. 1y agonflfastRStandings handed to nflseedR; R 4.1 now required
  3. 1y agovineregDiscrete conditional densities fixed; kde1d 1.1.0 required
  4. 1y agovineregpdf() added for conditional density
  5. 1y agonflfastRnflfastR 5.0.0
  6. 2y agovineregBoost compile flag and a weights error fixed
  7. 2y agonflfastRSeason-level conversion rate aggregation fixed
  8. 2y agovineregcll() computes conditional log-likelihood
  9. 2y agonflfastRRaw play-by-play can now be cached and parsed locally
  10. 3y agonflfastRReverse-dependency tests and dplyr compatibility fixes
  11. 4y agovineregvinecopulib floor raised for RcppThread compatibility
  12. 4y agovineregcpit() fixed and external marginals allowed via uscale

Frequently asked questions

What is the difference between nflfastR and vinereg?

They serve adjacent needs but don't currently overlap on shipped themes. nflfastR and vinereg are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is nflfastR better than vinereg?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. nflfastR and vinereg are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to nflfastR?

Top nflfastR alternatives in Analytics are ranked by recent ship velocity. Browse the "nflfastR alternatives" section above for the current picks, or visit /alternatives/nflfastr for the full list with editorial commentary on each.

What are the best alternatives to vinereg?

Top vinereg alternatives in Analytics are ranked by recent ship velocity. Browse the "vinereg alternatives" section above for the current picks, or visit /alternatives/vinereg for the full list with editorial commentary on each.