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cTMed vs rphylopic

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

Shared themes:r-package

cTMed vs rphylopic: at a glance

FeaturecTMedrphylopic
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesmediation-analysis, continuous-time-models, r-package, statistical-methodsphylogenetics, data-visualization, r-package, ggplot2
Last editorial update1h ago50m 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 rphylopic?

The R package that puts organism silhouettes on plots keeps widening where they can be drawn.

rphylopic fetches PhyloPic silhouettes and places them into R graphics — base plots, ggplot2 layers, legends, and now phylogenetic trees and igraph networks. The 1.x line has been consistent about two things: adding a new plotting context per release, and steadily replacing its early sizing vocabulary with explicit width and height arguments. Attribution handling is unusually developed for a package this size, with permalinks and per-image credit built into the retrieval functions.

Read the full rphylopic trajectory →

cTMed vs rphylopic: 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.

R
rphylopic
ANALYTICS
0.0

The R package that puts organism silhouettes on plots keeps widening where they can be drawn.

◆ Current state

rphylopic fetches PhyloPic silhouettes and places them into R graphics — base plots, ggplot2 layers, legends, and now phylogenetic trees and igraph networks. The 1.x line has been consistent about two things: adding a new plotting context per release, and steadily replacing its early sizing vocabulary with explicit width and height arguments. Attribution handling is unusually developed for a package this size, with permalinks and per-image credit built into the retrieval functions.

◆ Where it's heading

Development is expanding the set of places a silhouette can appear rather than changing what the package does. Base plots came first, then ggplot2 aesthetics and legend glyphs, then trees, then network vertices via an igraph shape registered automatically when both packages load. The other running thread is defensive maintenance against upstream churn: retries on failed API calls, fixes for ggplot2 4.0.0, and now an in-memory cache so repeated calls stop hammering the PhyloPic API. The ysize and size deprecation, opened in 1.5.0, is now complete and the arguments are scheduled for removal.

◆ Prediction

The deprecated ysize and size arguments look set to be removed in the next release, and on the pattern of the last four, another plotting context is a likelier addition than a change to the retrieval layer.

Alternatives to cTMed and rphylopic

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 rphylopic.

See all cTMed alternatives → · See all rphylopic alternatives →

Recent activity from cTMed and rphylopic

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

  1. 27d agocTMedStandardized centrality measures and diagonal-sigma support
  2. 1mo agorphylopicSilhouettes become igraph vertices; API responses cached
  3. 6mo agocTMedMinor method edits
  4. 8mo agorphylopicBase R phylogenies gain silhouette annotation
  5. 10mo agocTMedPackage citation added for the Psychological Methods paper
  6. 10mo agocTMedArmadillo 15.0.x compatibility for CRAN
  7. 1y agocTMedStandardization reworked around the steady-state covariance matrix
  8. 1y agocTMedBootstrap centrality estimators and MCPhiSigma()
  9. 1y agorphylopicExplicit width and height replace the old sizing arguments
  10. 2y agorphylopicSilhouette legends and attribution permalinks
  11. 2y agorphylopicSilhouette resolution helper and safer colour defaults
  12. 2y agorphylopicRendering dependencies bumped for grImport2 and rsvg

Frequently asked questions

What is the difference between cTMed and rphylopic?

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 rphylopic?

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 rphylopic?

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