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Comparison · Analytics

cTMed vs healthyR.data

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

Shared themes:r-package

cTMed vs healthyR.data: at a glance

FeaturecTMedhealthyR.data
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesmediation-analysis, continuous-time-models, r-package, statistical-methodsr-package, healthcare-data, cms, api-client
Last editorial update9h ago2h 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 healthyR.data?

From a bundled hospital dataset to a live CMS API client.

healthyR.data supplies the data layer for the healthyverse packages. It began by shipping hospital data inside the package and now fetches from CMS and provider endpoints at call time through get_cms_meta_data(), fetch_cms_data(), and their provider counterparts. The most recent release is a single httr2 compatibility fix.

Read the full healthyR.data trajectory →

cTMed vs healthyR.data: 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.

H
healthyR.data
ANALYTICS
0.0

From a bundled hospital dataset to a live CMS API client.

◆ Current state

healthyR.data supplies the data layer for the healthyverse packages. It began by shipping hospital data inside the package and now fetches from CMS and provider endpoints at call time through get_cms_meta_data(), fetch_cms_data(), and their provider counterparts. The most recent release is a single httr2 compatibility fix.

◆ Where it's heading

The 2023 release added roughly twenty current_*_data() accessors, one per CMS measure file - a wide but static surface. The 2024 releases replaced that approach with metadata lookup plus generic fetchers, then taught the fetchers to handle CSV, Excel, and ZIP payloads rather than API responses alone. The package's weight has moved from what it ships to what it can retrieve.

◆ Prediction

With the fetch layer generalised, the next visible work is more likely record-limit and error handling around httr2 than further per-measure accessors.

Alternatives to cTMed and healthyR.data

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 healthyR.data.

See all cTMed alternatives → · See all healthyR.data alternatives →

Recent activity from cTMed and healthyR.data

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

  1. 27d agocTMedStandardized centrality measures and diagonal-sigma support
  2. 6mo agocTMedMinor method edits
  3. 10mo agocTMedPackage citation added for the Psychological Methods paper
  4. 10mo agocTMedArmadillo 15.0.x compatibility for CRAN
  5. 1y agocTMedStandardization reworked around the steady-state covariance matrix
  6. 1y agocTMedBootstrap centrality estimators and MCPhiSigma()
  7. 1y agohealthyR.datahttr2 compatibility fix
  8. 2y agohealthyR.dataFetchers handle CSV, Excel, and ZIP, with a record limit
  9. 2y agohealthyR.dataMetadata lookup and generic CMS fetchers replace bundled data
  10. 3y agohealthyR.dataTwenty CMS measure accessors added
  11. 3y agohealthyR.datacli, crayon, and rstudioapi dependencies dropped
  12. 5y agohealthyR.dataxz compression added to meet CRAN size policy

Frequently asked questions

What is the difference between cTMed and healthyR.data?

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 healthyR.data?

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 healthyR.data?

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