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dissmapr vs probmed

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

Shared themes:r package

dissmapr vs probmed: at a glance

Featuredissmaprprobmed
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbiodiversity, dissimilarity, bioregions, research softwarecausal mediation, effect size, semiparametric inference, cross-fitting
Last editorial update52m ago50m ago
WebsiteVisit →Visit →

What is dissmapr?

dissmapr spent its first releases becoming citable rather than adding methods.

dissmapr provides an R workflow for compositional dissimilarity and turnover — occurrence data through spatial gridding and environmental linkage to order-wise dissimilarity and bioregional mapping. All three releases to date are infrastructure: a first citable archive in June 2026, then a maturity release aligning the package with the B-Cubed software development guide. The ten-function pipeline described in the notes has not changed across them.

Read the full dissmapr trajectory →

What is probmed?

probmed went from one probabilistic effect size to a family of them in sixteen days.

probmed computes P_med, a scale-free probabilistic effect size for causal mediation, as part of the Data-Wise mediationverse alongside medfit, medsim and RMediation. Three releases in three weeks took it from a single estimator to four additional families built on a shared cross-fitted corner-EIF core, covering gauge-calibrated, incremental-elasticity and Sobol variance-share versions of the proportion mediated. Distribution is GitHub and r-universe rather than CRAN, with a load-bearing Remotes pin on medfit.

Read the full probmed trajectory →

dissmapr vs probmed: editorial side-by-side

D
dissmapr
ANALYTICS
0.0

dissmapr spent its first releases becoming citable rather than adding methods.

◆ Current state

dissmapr provides an R workflow for compositional dissimilarity and turnover — occurrence data through spatial gridding and environmental linkage to order-wise dissimilarity and bioregional mapping. All three releases to date are infrastructure: a first citable archive in June 2026, then a maturity release aligning the package with the B-Cubed software development guide. The ten-function pipeline described in the notes has not changed across them.

◆ Where it's heading

The work is compliance-shaped rather than method-shaped: explicit @importFrom in place of whole-namespace imports, library() calls removed from package code, roughly 11 MB of development caches dropped, a runnable README quick-start, and Zenodo archival with CITATION.cff and codemeta.json. dissmapr moves in lockstep with its B-Cubed sibling invasimapr — both tagged 0.1.0 within three minutes of each other and 0.2.0 on the same day — so releases here reflect project-wide standards deadlines more than package-specific work. The stated roadmap of additional ecological distance metrics has not yet landed.

◆ Prediction

With standards work now signed off and R CMD check clean, the next release is the first real chance for the roadmap items — additional ecological distance metrics — to arrive.

P
probmed
ANALYTICS
0.0

probmed went from one probabilistic effect size to a family of them in sixteen days.

◆ Current state

probmed computes P_med, a scale-free probabilistic effect size for causal mediation, as part of the Data-Wise mediationverse alongside medfit, medsim and RMediation. Three releases in three weeks took it from a single estimator to four additional families built on a shared cross-fitted corner-EIF core, covering gauge-calibrated, incremental-elasticity and Sobol variance-share versions of the proportion mediated. Distribution is GitHub and r-universe rather than CRAN, with a load-bearing Remotes pin on medfit.

◆ Where it's heading

The pace is manuscript-driven — estimators arrive with their citations attached and vignettes alongside, and the 0.1.0 notes correct the estimand itself against a manuscript definition rather than fixing a bug in code. Each release adds inference machinery as well as point estimates: percentile-bootstrap intervals and Fieller sets in 0.3.0, a deterministic MBCO interval in 0.2.0 that avoids resampling entirely. The gauge residual and the pmed_sensitivity() helper suggest a growing concern with when the estimand does not decompose at all.

◆ Prediction

0.3.0 shipped a sensitivity helper for shared mediator-outcome confounding and a diagnostic that flags non-decomposability, so the next release most likely extends that diagnostic side rather than adding a fifth estimator family.

Alternatives to dissmapr and probmed

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 dissmapr or probmed.

See all dissmapr alternatives → · See all probmed alternatives →

Recent activity from dissmapr and probmed

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

  1. 1mo agodissmaprVersion bump; notes identical to 0.2.0
  2. 1mo agodissmaprB-Cubed standards alignment, docs overhaul and a citable DOI
  3. 1mo agodissmaprdissmapr v0.1.0: First citable release
  4. 1mo agoprobmedFour estimator families on a cross-fitted corner-EIF core
  5. 2mo agoprobmedParallel mediators and a resampling-free MBCO interval
  6. 2mo agoprobmedFirst release: pmed() with the estimand corrected

Frequently asked questions

What is the difference between dissmapr and probmed?

Both compete on the same themes — r package — within Analytics. dissmapr and probmed 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 dissmapr better than probmed?

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

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

What are the best alternatives to probmed?

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