STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
Comparison · Analytics
fitVARMxID vs GeneNMF
A side-by-side editorial comparison of fitVARMxID and GeneNMF — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
fitVARMxID vs GeneNMF: at a glance
What is fitVARMxID?
A VAR-model fitting package acquiring the standard R methods it launched without
fitVARMxID fits vector autoregressive models via OpenMx identification, and is one of several packages maintained by the jeksterslab account. Its recent releases are small and additive: confint() and plot() methods, a save function, and before that a documentation pass. The feed also carries automated build commits that are pure CI artifacts.
What is GeneNMF?
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
GeneNMF applies non-negative matrix factorization to single-cell expression data to find gene programs, then consolidates programs recurring across samples into meta-programs. Version 0.6.0 replaced the consolidation method: instead of reducing each program to a gene set and taking a consensus, it retains full gene weight vectors and compares them by cosine similarity. Later releases have built reporting and control around that core — a metaprogram composition matrix showing which samples contributed, custom signature databases for enrichment testing, and the ability to drop meta-programs from results.
fitVARMxID vs GeneNMF: editorial side-by-side
fitVARMxID
2.5ANALYTICS
A VAR-model fitting package acquiring the standard R methods it launched without
◆ Current state
fitVARMxID fits vector autoregressive models via OpenMx identification, and is one of several packages maintained by the jeksterslab account. Its recent releases are small and additive: confint() and plot() methods, a save function, and before that a documentation pass. The feed also carries automated build commits that are pure CI artifacts.
◆ Where it's heading
This is a package settling into R conventions rather than growing capability. Adding confint() and plot() is the standard-methods work most modeling packages do once the estimation core is stable — it signals the author considers the fitting side done. Cadence is roughly quarterly and the changes get smaller each time.
◆ Prediction
Further method coverage — summary(), predict(), or coef() — is the likely next step, since confint() and plot() are usually the first two of that set rather than the last.
GeneNMF
0.0ANALYTICS
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
◆ Current state
GeneNMF applies non-negative matrix factorization to single-cell expression data to find gene programs, then consolidates programs recurring across samples into meta-programs. Version 0.6.0 replaced the consolidation method: instead of reducing each program to a gene set and taking a consensus, it retains full gene weight vectors and compares them by cosine similarity. Later releases have built reporting and control around that core — a metaprogram composition matrix showing which samples contributed, custom signature databases for enrichment testing, and the ability to drop meta-programs from results.
◆ Where it's heading
The package is moving from producing meta-programs to letting users interrogate and constrain how they were formed. Composition matrices, the drop function and downsampled similarity heatmaps all serve inspection rather than derivation. The parameters added alongside the 0.6.0 rewrite — specificity weighting, cumulative weight thresholds, confidence defined as the fraction of programs containing a gene — turn what were fixed internal choices into stated, tunable ones.
◆ Prediction
Recent releases have been fixes and compatibility work rather than method changes, so the core approach appears settled. The dependency on an RcppML version not on CRAN is the loose end most likely to force the next release.
Alternatives to fitVARMxID and GeneNMF
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 fitVARMxID or GeneNMF.
ggtrace
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
kde1d
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
svines
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
gghighlight
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
rtrek
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
See all fitVARMxID alternatives → · See all GeneNMF alternatives →
Recent activity from fitVARMxID and GeneNMF
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15d agofitVARMxIDfitVARMxID 1.0.5
- 4mo agofitVARMxIDfitVARMxID 1.0.3
- 5mo agofitVARMxIDv1.0.2: Automated build [skip ci].
- 11mo agoGeneNMFSingle-sample runs fixed; gene weight definition refined
- 1y agoGeneNMFMetaprogram composition exposed and custom signature DBs supported
- 1y agoGeneNMFSimilarity heatmap downsampling and meta-program removal
- 2y agoGeneNMFMeta-programs rebuilt on gene weight vectors and cosine similarity ⚡
- 2y agoGeneNMFFirst stable release published to CRAN
Frequently asked questions
What is the difference between fitVARMxID and GeneNMF?
Both compete on the same themes — r-package — within Analytics. fitVARMxID 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 fitVARMxID better than GeneNMF?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fitVARMxID 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 fitVARMxID?
Top fitVARMxID alternatives in Analytics are ranked by recent ship velocity. Browse the "fitVARMxID alternatives" section above for the current picks, or visit /alternatives/fitvarmxid for the full list with editorial commentary on each.
What are the best alternatives to GeneNMF?
Top GeneNMF alternatives in Analytics are ranked by recent ship velocity. Browse the "GeneNMF alternatives" section above for the current picks, or visit /alternatives/genenmf for the full list with editorial commentary on each.