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Comparison · Infra & APIs

bolasso vs ggInterval

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

Shared themes:r-package

bolasso vs ggInterval: at a glance

FeaturebolassoggInterval
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesvariable-selection, lasso, r-package, bootstrapsymbolic-data-analysis, interval-data, ggplot2, data-visualization
Last editorial update1d ago1h ago
WebsiteVisit →Visit →

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.

Read the full bolasso trajectory →

What is ggInterval?

Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.

ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.

Read the full ggInterval trajectory →

bolasso vs ggInterval: editorial side-by-side

B
bolasso
INFRA · APIS
0.0

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.

G
ggInterval
INFRA · APIS
0.0

Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.

◆ Current state

ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.

◆ Where it's heading

The package is consolidating an interface that had drifted. Renaming seven functions in a single release is the clearest signal — the naming was inconsistent enough to be worth breaking, and the vignette rewrite that followed suggests discoverability was the underlying complaint. Underneath that, the additions are steady and narrow: each release brings interval-aware versions of plot types that already exist for point data, which is the whole premise of the package.

◆ Prediction

The pattern of porting one more standard plot type into interval-aware form each release is the most likely continuation; the tsplot compatibility in the latest version hints that time-series interval data is the direction attracting attention.

Alternatives to bolasso and ggInterval

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 ggInterval.

See all bolasso alternatives → · See all ggInterval alternatives →

Recent activity from bolasso and ggInterval

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

  1. 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
  2. 4mo agobolassoMultinomial responses supported across selection and plotting
  3. 6mo agoggIntervalExamples switched to donttest per CRAN review
  4. 6mo agoggIntervalVignette rewritten to cover every plot function
  5. 6mo agoggIntervalSeven plot functions renamed for consistency
  6. 10mo agobolassoBootstrap indices exposed via bootstrap_samples()
  7. 1y agobolassoFast estimation mode and a second variable selection rule
  8. 4y agobolassoBolasso v0.2.0
  9. 4y agobolassoBolasso v0.1.0

Frequently asked questions

What is the difference between bolasso and ggInterval?

Both compete on the same themes — r-package — within Infra & APIs. bolasso and ggInterval 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 ggInterval?

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

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