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Comparison · Infra & APIs

bolasso vs metR

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

Shared themes:r-package

bolasso vs metR: at a glance

FeaturebolassometR
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesvariable-selection, lasso, r-package, bootstrapmeteorology, ggplot2, r-package, netcdf
Last editorial update1h 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 metR?

A meteorology ggplot2 extension where the netCDF reader became the main event

metR supplies meteorological and oceanographic tools for R: contour and streamline geoms, EOF decomposition, wave fitting, and ReadNetCDF() for getting gridded data in. Development has concentrated heavily on that reader. Version 0.18.0 added subsetting by dimension index, so the first or last ten timesteps can be read without knowing how many exist; 0.18.1 moved time parsing to the CFtime package; 0.18.2 added cdo operations through rcdo and reading across multiple files in parallel, and fixed a subsetting bug where nearest-gridpoint matching could return data outside the requested range entirely.

Read the full metR trajectory →

bolasso vs metR: 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.

M
metR
INFRA · APIS
0.0

A meteorology ggplot2 extension where the netCDF reader became the main event

◆ Current state

metR supplies meteorological and oceanographic tools for R: contour and streamline geoms, EOF decomposition, wave fitting, and ReadNetCDF() for getting gridded data in. Development has concentrated heavily on that reader. Version 0.18.0 added subsetting by dimension index, so the first or last ten timesteps can be read without knowing how many exist; 0.18.1 moved time parsing to the CFtime package; 0.18.2 added cdo operations through rcdo and reading across multiple files in parallel, and fixed a subsetting bug where nearest-gridpoint matching could return data outside the requested range entirely.

◆ Where it's heading

Two threads run through the releases. The first is tracking ggplot2, absorbing the linewidth aesthetic, the trans to transform rename and guide compatibility as each landed upstream. The second is narrowing scope while deepening the data path: GetSMNData() was made defunct as too specific for a general package, raster and gdal dependencies were removed, and the udunits2 dependency was dropped when it was orphaned, initially replaced by a homebrewed date parser and eventually by CFtime. The result is a package steadily shedding its own code in favour of specialised upstream libraries.

◆ Prediction

Expect further ReadNetCDF() work, since it has received features in four of the last five releases and the rcdo integration opens a large surface of operations to expose.

Alternatives to bolasso and metR

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 metR.

See all bolasso alternatives → · See all metR alternatives →

Recent activity from bolasso and metR

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

  1. 4mo agobolassoMultinomial responses supported across selection and plotting
  2. 7mo agometRSubset notation fix in the netCDF reader
  3. 10mo agobolassoBootstrap indices exposed via bootstrap_samples()
  4. 11mo agometRcdo operations, parallel multi-file reads, and a subsetting correctness fix
  5. 1y agometRnetCDF time parsing handed to the CFtime package
  6. 1y agometRnetCDF subsetting by dimension index
  7. 1y agometRLongitude scales pass the transform argument correctly
  8. 1y agobolassoFast estimation mode and a second variable selection rule
  9. 1y agometREOF rotation takes a function, and scope narrows
  10. 4y agobolassoBolasso v0.2.0
  11. 4y agobolassoBolasso v0.1.0

Frequently asked questions

What is the difference between bolasso and metR?

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

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

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