simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
rmediation vs STACAS
A side-by-side editorial comparison of rmediation and STACAS — release velocity, themes, recent moves, and the top alternatives to consider.
rmediation vs STACAS: at a glance
What is rmediation?
RMediation shipped a three-normal CDF, then found it was silently wrong.
RMediation is a long-standing CRAN package for confidence intervals on mediated effects, now built on an S7 class hierarchy. Over eight weeks it added ProductNormal3 for serial indirect effects of the form a1*a2*b, folded the engine into the existing pprodnormal naming family, and then replaced that engine outright after finding it returned wrong probabilities without warning. The dev branch is at 1.7.0; CRAN still serves 1.6.1.
What is STACAS?
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
STACAS integrates single-cell RNA-seq datasets by finding and weighting anchors between them, with rPCA-distance-based downweighting and an optional semi-supervised mode that uses cell type labels to discard inconsistent anchors. IntegrateData.STACAS() performs the integration natively rather than handing off, and StandardizeGeneSymbols() normalises gene naming across datasets before anchors are computed.
rmediation vs STACAS: editorial side-by-side
rmediation
3.8ANALYTICS
RMediation shipped a three-normal CDF, then found it was silently wrong.
◆ Current state
RMediation is a long-standing CRAN package for confidence intervals on mediated effects, now built on an S7 class hierarchy. Over eight weeks it added ProductNormal3 for serial indirect effects of the form a1*a2*b, folded the engine into the existing pprodnormal naming family, and then replaced that engine outright after finding it returned wrong probabilities without warning. The dev branch is at 1.7.0; CRAN still serves 1.6.1.
◆ Where it's heading
The package is moving from a hand-rolled numerical layer to one that checks itself: the new default integrator escalates its node count until successive rules agree, warns when it hits the cap instead of returning a number, and exposes a diagnostics argument for the convergence estimate. The correctness fix went to dev ahead of the CRAN window rather than being held for it, which suggests wrong-answer bugs are treated as release-blocking regardless of cadence. Serial mediation is where the new surface area is concentrated.
◆ Prediction
1.7.0 exists specifically to land before CRAN's 2026-08-21 update window, so the next move is a CRAN submission promoting it to main; whether hcubature survives past that as a cross-check option is the open question.
STACAS
0.0ANALYTICS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
◆ Current state
STACAS integrates single-cell RNA-seq datasets by finding and weighting anchors between them, with rPCA-distance-based downweighting and an optional semi-supervised mode that uses cell type labels to discard inconsistent anchors. IntegrateData.STACAS() performs the integration natively rather than handing off, and StandardizeGeneSymbols() normalises gene naming across datasets before anchors are computed.
◆ Where it's heading
The method work concentrated in version 2.0 and has been stable since; everything after is Seurat compatibility and operational robustness. Versions 2.1.1 through 2.3.0 track Seurat v5 assays, v3-to-v5 conversion, multi-layer objects and SCT normalisation, with the genuinely useful additions — a reference seed dataset, max.seed.datasets for large-scale integration, min.sample.size — arriving as side effects of that work. The package is from the same lab as GeneNMF, and its release rhythm follows the single-cell ecosystem's upstream churn rather than an internal roadmap.
◆ Prediction
Expect the next release to follow further Seurat object-model changes, which have driven the last three. Nothing in the entries indicates new anchor-scoring or correction methodology in progress.
Alternatives to rmediation and STACAS
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 rmediation or STACAS.
lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
ibis.iSDM
A raster-to-terra migration is the only readable change in a feed of merge notes.
anyflights
A nycflights13 generator whose recent work is all about the data being right.
vinereg
Conditional density and log-likelihood fill out a vine copula regression package.
stringx
A drop-in string API for base R, kept alive by upstream check failures.
See all rmediation alternatives → · See all STACAS alternatives →
Recent activity from rmediation and STACAS
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15h agormediationv1.7.0 — pprodnormal3() correctness fix ⚡
- 1mo agormediationp_prod3() renamed into the pprodnormal family
- 1mo agormediationProductNormal3: exact CDF for a product of three normals ⚡
- 2mo agormediationmedfit reaches CRAN; Remotes pointer dropped
- 1y agoSTACASMulti-layer objects and Seurat v3-to-v5 conversion handled
- 2y agoSTACASscale.data option for extreme batch effects; gene name conversion table
- 3y agoSTACASReference seeding, gene symbol standardisation, large-scale integration path
- 4y agoSTACASSemi-supervised integration and rPCA anchor downweighting ⚡
- 5y agoSTACASSeurat 4.0.0 compatibility and SCTransform support
Frequently asked questions
What is the difference between rmediation and STACAS?
They serve adjacent needs but don't currently overlap on shipped themes. rmediation is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 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 rmediation better than STACAS?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rmediation is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 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 rmediation?
Top rmediation alternatives in Analytics are ranked by recent ship velocity. Browse the "rmediation alternatives" section above for the current picks, or visit /alternatives/rmediation for the full list with editorial commentary on each.
What are the best alternatives to STACAS?
Top STACAS alternatives in Analytics are ranked by recent ship velocity. Browse the "STACAS alternatives" section above for the current picks, or visit /alternatives/stacas for the full list with editorial commentary on each.