simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
lavaanExtra vs STACAS
A side-by-side editorial comparison of lavaanExtra and STACAS — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
lavaanExtra vs STACAS: at a glance
What is lavaanExtra?
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
lavaanExtra provides shorthand syntax and formatted output around lavaan structural equation models - write_lavaan() to build model strings, and nice_* functions for fit tables, plots, and modification indices. Three of the six visible releases exist only to satisfy CRAN resubmission: a unicode problem, a dependency version check, tests running without suggested packages. The substance sits in 0.1.5, 0.1.8, and 0.1.9.
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.
lavaanExtra vs STACAS: editorial side-by-side
lavaanExtra
0.0ANALYTICS
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
◆ Current state
lavaanExtra provides shorthand syntax and formatted output around lavaan structural equation models - write_lavaan() to build model strings, and nice_* functions for fit tables, plots, and modification indices. Three of the six visible releases exist only to satisfy CRAN resubmission: a unicode problem, a dependency version check, tests running without suggested packages. The substance sits in 0.1.5, 0.1.8, and 0.1.9.
◆ Where it's heading
The package generalises its own vocabulary as it goes: lavaan_ind() became lavaan_defined() once it turned out to extract any user-defined parameter, and lavaan_cov() was split so lavaan_cor() covers actual correlations. Methodological positions are taken alongside the API - dropping the estimate argument from lavaan_reg() to force reporting both standardized and unstandardized values, and updating the RMSEA benchmark to Schreiber (2017). Rémi Thériault maintains it next to rempsyc, which formats output to match. Note that 0.1.5 restates the whole 0.1.4.x development series in one body.
◆ Prediction
The pattern points to another nice_* helper aimed at a reporting step that currently needs hand formatting, arriving with the usual CRAN resubmission behind it.
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 lavaanExtra 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 lavaanExtra or STACAS.
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.
healthyR.data
From a bundled hospital dataset to a live CMS API client.
See all lavaanExtra alternatives → · See all STACAS alternatives →
Recent activity from lavaanExtra and STACAS
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoSTACASMulti-layer objects and Seurat v3-to-v5 conversion handled
- 2y agoSTACASscale.data option for extreme batch effects; gene name conversion table
- 2y agolavaanExtraCRAN resubmission for a unicode problem
- 2y agolavaanExtralavaan_ind renamed to lavaan_defined; thresholds supported
- 2y agolavaanExtranice_modindices flags redundant items
- 3y agoSTACASReference seeding, gene symbol standardisation, large-scale integration path
- 3y agolavaanExtraSuggested dependency versions checked correctly
- 3y agolavaanExtraTests run without suggested dependencies
- 3y agolavaanExtraFit benchmarks updated and correlations split from covariances
- 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 lavaanExtra and STACAS?
Both compete on the same themes — r-package — within Analytics. lavaanExtra and STACAS 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 lavaanExtra better than STACAS?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lavaanExtra and STACAS 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 lavaanExtra?
Top lavaanExtra alternatives in Analytics are ranked by recent ship velocity. Browse the "lavaanExtra alternatives" section above for the current picks, or visit /alternatives/lavaanextra 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.