← Back to home
Comparison · Analytics

cTMed vs worldbank

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

Shared themes:r-package

cTMed vs worldbank: at a glance

FeaturecTMedworldbank
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesmediation-analysis, continuous-time-models, r-package, statistical-methodsworld-bank, development-data, r-package, api-wrapper
Last editorial update1h ago48m ago
WebsiteVisit →Visit →

What is cTMed?

Continuous-time mediation effects get standardized centrality, six years into steady patch work

cTMed computes direct, indirect and total effects for continuous-time mediation models, with delta-method, Monte Carlo and bootstrap variants of each. Development is a long run of patch releases from the jeksterslab account, roughly every two months, each adding a function or two. The latest adds standardized centrality measures and allows a diagonal sigma across ten standardized estimators.

Read the full cTMed trajectory →

What is worldbank?

A World Bank data wrapper that keeps finding the places its own API can't reach.

worldbank provides R access to the World Bank's public data: World Development Indicators, the Poverty and Inequality Platform, project records, and the Finances One datasets. It settled its type contract early — always a data.frame, never a conditional tibble — and has since layered on opt-in request caching, multi-indicator queries, and query conveniences like most-recent-values and gap filling. The most recent addition sidesteps the API entirely, pulling the full WDI archive as a zip.

Read the full worldbank trajectory →

cTMed vs worldbank: editorial side-by-side

C
cTMed
ANALYTICS
2.5

Continuous-time mediation effects get standardized centrality, six years into steady patch work

◆ Current state

cTMed computes direct, indirect and total effects for continuous-time mediation models, with delta-method, Monte Carlo and bootstrap variants of each. Development is a long run of patch releases from the jeksterslab account, roughly every two months, each adding a function or two. The latest adds standardized centrality measures and allows a diagonal sigma across ten standardized estimators.

◆ Where it's heading

The package is filling out a matrix rather than changing shape: for each effect type there is a delta-method, a Monte Carlo and a bootstrap path, and each release closes another cell. The 2025 releases were largely externally forced — an Armadillo 15.0.x transition at CRAN, a citation addition after the Psychological Methods paper landed — which suggests the statistical core has been settled since the 1.0.6 standardization revision.

◆ Prediction

The diagonal-sigma option has now reached the standardized estimators; extending it to the remaining unstandardized variants is the obvious next cell to fill.

W
worldbank
ANALYTICS
0.0

A World Bank data wrapper that keeps finding the places its own API can't reach.

◆ Current state

worldbank provides R access to the World Bank's public data: World Development Indicators, the Poverty and Inequality Platform, project records, and the Finances One datasets. It settled its type contract early — always a data.frame, never a conditional tibble — and has since layered on opt-in request caching, multi-indicator queries, and query conveniences like most-recent-values and gap filling. The most recent addition sidesteps the API entirely, pulling the full WDI archive as a zip.

◆ Where it's heading

Two threads run through the log. The first is query ergonomics: multiple indicators per call, mrv and gapfill parameters, regex search across the indicator catalog, a shorter wb_data() name that has since become the primary entry point. The second is coverage of things the standard API handles poorly — bulk download reaches footnote and series-time metadata the endpoints never expose, and PIP nowcasts and project records extend past the indicator tables most users start with. The maintainer runs the same infrastructure across their other data packages, and the caching design here is identical to what bbk and treasury received.

◆ Prediction

Expect the remaining rough edges of the World Bank's own API — inconsistent empty responses, metadata only available in bulk files — to keep driving releases, rather than a push into new data providers.

Alternatives to cTMed and worldbank

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 cTMed or worldbank.

See all cTMed alternatives → · See all worldbank alternatives →

Recent activity from cTMed and worldbank

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

  1. 27d agocTMedStandardized centrality measures and diagonal-sigma support
  2. 1mo agoworldbankEmpty queries return an empty frame instead of erroring
  3. 3mo agoworldbankBulk WDI download reaches metadata the API never exposes
  4. 5mo agoworldbankMost-recent-values and gap filling, plus project records
  5. 6mo agocTMedMinor method edits
  6. 8mo agoworldbankTest suite stops caching queries for CRAN compliance
  7. 9mo agoworldbankOpt-in request caching with a one-day default
  8. 10mo agocTMedPackage citation added for the Psychological Methods paper
  9. 10mo agocTMedArmadillo 15.0.x compatibility for CRAN
  10. 1y agoworldbankwb_data() added as an alias for wb_country_indicator()
  11. 1y agocTMedStandardization reworked around the steady-state covariance matrix
  12. 1y agocTMedBootstrap centrality estimators and MCPhiSigma()

Frequently asked questions

What is the difference between cTMed and worldbank?

Both compete on the same themes — r-package — within Analytics. cTMed is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is cTMed better than worldbank?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cTMed is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to cTMed?

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

What are the best alternatives to worldbank?

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