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Comparison · Analytics

lavaanExtra vs nflfastR

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

lavaanExtra vs nflfastR: at a glance

FeaturelavaanExtranflfastR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, structural-equation-modeling, lavaan, apa-reportingsports analytics, nflverse, api consolidation, play-by-play data
Last editorial update1h ago4h ago
WebsiteVisit →Visit →

What is lavaanExtra?

SEM reporting helpers converging on APA output, one CRAN resubmission at a time.

lavaanExtra provides shorthand syntax and formatted output around lavaan structural equation models - write_lavaan() to build model strings, and nice_* functions for fit tables, plots, and modification indices. Three of the six visible releases exist only to satisfy CRAN resubmission: a unicode problem, a dependency version check, tests running without suggested packages. The substance sits in 0.1.5, 0.1.8, and 0.1.9.

Read the full lavaanExtra trajectory →

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 →

lavaanExtra vs nflfastR: editorial side-by-side

L
lavaanExtra
ANALYTICS
0.0

SEM reporting helpers converging on APA output, one CRAN resubmission at a time.

◆ Current state

lavaanExtra provides shorthand syntax and formatted output around lavaan structural equation models - write_lavaan() to build model strings, and nice_* functions for fit tables, plots, and modification indices. Three of the six visible releases exist only to satisfy CRAN resubmission: a unicode problem, a dependency version check, tests running without suggested packages. The substance sits in 0.1.5, 0.1.8, and 0.1.9.

◆ Where it's heading

The package generalises its own vocabulary as it goes: lavaan_ind() became lavaan_defined() once it turned out to extract any user-defined parameter, and lavaan_cov() was split so lavaan_cor() covers actual correlations. Methodological positions are taken alongside the API - dropping the estimate argument from lavaan_reg() to force reporting both standardized and unstandardized values, and updating the RMSEA benchmark to Schreiber (2017). Rémi Thériault maintains it next to rempsyc, which formats output to match. Note that 0.1.5 restates the whole 0.1.4.x development series in one body.

◆ Prediction

The pattern points to another nice_* helper aimed at a reporting step that currently needs hand formatting, arriving with the usual CRAN resubmission behind it.

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.

Alternatives to lavaanExtra and nflfastR

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 lavaanExtra or nflfastR.

See all lavaanExtra alternatives → · See all nflfastR alternatives →

Recent activity from lavaanExtra and nflfastR

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 agonflfastRnflfastR 5.0.0
  4. 2y agonflfastRSeason-level conversion rate aggregation fixed
  5. 2y agonflfastRRaw play-by-play can now be cached and parsed locally
  6. 2y agolavaanExtraCRAN resubmission for a unicode problem
  7. 2y agolavaanExtralavaan_ind renamed to lavaan_defined; thresholds supported
  8. 2y agolavaanExtranice_modindices flags redundant items
  9. 3y agolavaanExtraSuggested dependency versions checked correctly
  10. 3y agolavaanExtraTests run without suggested dependencies
  11. 3y agolavaanExtraFit benchmarks updated and correlations split from covariances
  12. 3y agonflfastRReverse-dependency tests and dplyr compatibility fixes

Frequently asked questions

What is the difference between lavaanExtra and nflfastR?

They serve adjacent needs but don't currently overlap on shipped themes. lavaanExtra and nflfastR 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 lavaanExtra better than nflfastR?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lavaanExtra and nflfastR 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 lavaanExtra?

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

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.