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Comparison · Infra & APIs
bolasso vs L1centrality
A side-by-side editorial comparison of bolasso and L1centrality — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
bolasso vs L1centrality: at a glance
What is bolasso?
Bootstrap lasso got a fast mode, a second selection rule, and multinomial support
bolasso implements the bootstrapped lasso, refitting a regularized regression across bootstrap replicates and selecting variables by how consistently they survive. The 0.3.0 release reshaped it: a fast argument computes one cross-validated lambda on the full dataset instead of cross-validating inside every replicate, and selected_variables() gained a choice between the variable inclusion probability rule and a quantile rule based on bootstrap confidence intervals. Since then 0.4.0 exposed the bootstrap indices through bootstrap_samples(), and 0.5.0 extended the whole surface to multinomial responses, returning one list element per outcome level.
What is L1centrality?
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
L1centrality implements L1 centrality and prestige for graphs, including group, local, and neighbourhood variants plus MDS-based visualization. The measure set has been stable since 0.3.0; the work since has gone into interfaces around it — S3 classes with print and summary methods, plot methods for every result class, and in 0.5.0 both multi-group evaluation and multicore computation for the local variant. The two releases since have been a warning-message pass and a typo pass.
bolasso vs L1centrality: editorial side-by-side
bolasso
0.0INFRA · APIS
Bootstrap lasso got a fast mode, a second selection rule, and multinomial support
◆ Current state
bolasso implements the bootstrapped lasso, refitting a regularized regression across bootstrap replicates and selecting variables by how consistently they survive. The 0.3.0 release reshaped it: a fast argument computes one cross-validated lambda on the full dataset instead of cross-validating inside every replicate, and selected_variables() gained a choice between the variable inclusion probability rule and a quantile rule based on bootstrap confidence intervals. Since then 0.4.0 exposed the bootstrap indices through bootstrap_samples(), and 0.5.0 extended the whole surface to multinomial responses, returning one list element per outcome level.
◆ Where it's heading
The package spent 2022 dormant after its initial releases and has been actively developed since late 2024, moving from a single algorithm toward a workbench. The additions cluster around inspection rather than estimation: tidy() for bootstrap-level coefficients, plot_selection_thresholds() for selection stability across thresholds, plot_selected_variables() for the surviving covariates, and now the extracted bootstrap indices. Documented gaps remain, with mgaussian unsupported and multinomial prediction limited to class output.
◆ Prediction
The two stated limitations in 0.5.0 - no mgaussian family and class-only multinomial prediction - are the most likely next targets, since the maintainer flagged both as possible later additions.
L1centrality
0.0INFRA · APIS
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
◆ Current state
L1centrality implements L1 centrality and prestige for graphs, including group, local, and neighbourhood variants plus MDS-based visualization. The measure set has been stable since 0.3.0; the work since has gone into interfaces around it — S3 classes with print and summary methods, plot methods for every result class, and in 0.5.0 both multi-group evaluation and multicore computation for the local variant. The two releases since have been a warning-message pass and a typo pass.
◆ Where it's heading
The package has moved from defining measures to operationalizing them. 0.5.0 was the inflection: parallel local computation and list-valued group input both target users running these measures over many vertex sets or large graphs rather than illustrating them on one. The same release renamed weight_transform and eta to edge_weight_transform and vertex_weight, and added an explicit message when a distance matrix is received — the signature of a maintainer fielding the same misuse repeatedly.
◆ Prediction
The last two releases carry no functional change, so the near-term path is maintenance rather than new measures; a 0.6.0 would most likely extend parallelism beyond L1centLOC to the other computationally heavy variants.
Alternatives to bolasso and L1centrality
Other Infra & APIs 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 bolasso or L1centrality.
forestploter
A forest plot package that keeps handing users control of one more graphical detail.
ggInterval
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
rgm
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
contagionchannels
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
tidyaudit
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all bolasso alternatives → · See all L1centrality alternatives →
Recent activity from bolasso and L1centrality
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoL1centralityTypo fixes only
- 3mo agoL1centralityWarning message wording updated
- 3mo agoL1centralityMulti-group prominence and multicore local centrality
- 4mo agobolassoMultinomial responses supported across selection and plotting
- 9mo agoL1centralityPlot methods for every result class, plus edge-weight transforms
- 10mo agobolassoBootstrap indices exposed via bootstrap_samples()
- 1y agoL1centralityHandles unnamed vertices; quantile type pinned
- 1y agobolassoFast estimation mode and a second variable selection rule ⚡
- 1y agoL1centralityS3 classes for all results, plus a Gini coefficient
- 4y agobolassoBolasso v0.2.0
- 4y agobolassoBolasso v0.1.0
Frequently asked questions
What is the difference between bolasso and L1centrality?
Both compete on the same themes — r-package — within Infra & APIs. bolasso and L1centrality 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 bolasso better than L1centrality?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bolasso and L1centrality 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to bolasso?
Top bolasso alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "bolasso alternatives" section above for the current picks, or visit /alternatives/bolasso for the full list with editorial commentary on each.
What are the best alternatives to L1centrality?
Top L1centrality alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "L1centrality alternatives" section above for the current picks, or visit /alternatives/l1centrality for the full list with editorial commentary on each.