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Comparison · Analytics

bbk vs lavaanExtra

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

Shared themes:r-package

bbk vs lavaanExtra: at a glance

FeaturebbklavaanExtra
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescentral-bank-data, macro-statistics, r-package, api-wrapperr-package, structural-equation-modeling, lavaan, apa-reporting
Last editorial update7h ago59m ago
WebsiteVisit →Visit →

What is bbk?

One R interface is absorbing the world's central bank data portals, one API at a time.

bbk began as a Bundesbank client and has become a single R interface to central bank statistics generally: the ECB, BIS, and the national banks of Switzerland, Canada, the UK, France, Spain, Austria, Sweden, Norway, Portugal, Japan, Poland, the Czech Republic, and now Brazil and Mexico. Each provider gets a consistent set of verbs — a data function, a dimension function for the dataflow structure, and provider-specific extras like PRIBOR or CZEONIA fixings. Response caching, data.table returns, and an updated_after argument for incremental retrieval are shared plumbing rather than per-provider features.

Read the full bbk trajectory →

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 →

bbk vs lavaanExtra: editorial side-by-side

B
bbk
ANALYTICS
0.0

One R interface is absorbing the world's central bank data portals, one API at a time.

◆ Current state

bbk began as a Bundesbank client and has become a single R interface to central bank statistics generally: the ECB, BIS, and the national banks of Switzerland, Canada, the UK, France, Spain, Austria, Sweden, Norway, Portugal, Japan, Poland, the Czech Republic, and now Brazil and Mexico. Each provider gets a consistent set of verbs — a data function, a dimension function for the dataflow structure, and provider-specific extras like PRIBOR or CZEONIA fixings. Response caching, data.table returns, and an updated_after argument for incremental retrieval are shared plumbing rather than per-provider features.

◆ Where it's heading

The expansion is steady and the integration work is what makes it more than a list of wrappers: arguments introduced for one provider get pushed to the others, dimension introspection is being generalised across dataflows, and the bug fixes in recent releases are almost all about the same class of problem — series with missing observations, unsupported frequency codes, or date/value misalignment breaking a parser written for a tidier feed. The maintainer ships the same infrastructure across their packages in lockstep; bbk 0.9.0 and the sibling treasury package's 0.5.0 landed identical opt-in caching within minutes of each other. Geography is the visible frontier, but consistency across an increasingly ragged set of upstream APIs is the actual work.

◆ Prediction

Expect more national central banks to be added on the same template, and the newer providers to be retrofitted with the dimension and updated_after functions the older ones already have.

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.

Alternatives to bbk and lavaanExtra

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 bbk or lavaanExtra.

See all bbk alternatives → · See all lavaanExtra alternatives →

Recent activity from bbk and lavaanExtra

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

  1. 1mo agobbkBrazil and Mexico join, bringing survey expectations data
  2. 2mo agobbkCzech National Bank support lands with a broad parser repair
  3. 3mo agobbkIncremental retrieval generalised beyond the ECB endpoint
  4. 4mo agobbkOpt-in response caching plus dimension introspection everywhere
  5. 10mo agobbkBank of Canada data and exchange rates added
  6. 11mo agobbkFour European central banks added; validation moves to checkmate
  7. 2y agolavaanExtraCRAN resubmission for a unicode problem
  8. 2y agolavaanExtralavaan_ind renamed to lavaan_defined; thresholds supported
  9. 2y agolavaanExtranice_modindices flags redundant items
  10. 3y agolavaanExtraSuggested dependency versions checked correctly
  11. 3y agolavaanExtraTests run without suggested dependencies
  12. 3y agolavaanExtraFit benchmarks updated and correlations split from covariances

Frequently asked questions

What is the difference between bbk and lavaanExtra?

Both compete on the same themes — r-package — within Analytics. bbk and lavaanExtra 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 bbk better than lavaanExtra?

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

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

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.