HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of bolasso and ltertools — release velocity, themes, recent moves, and the top alternatives to consider.
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.
A column-key toolkit for stitching decades of ecological field data into one table.
ltertools serves the Long Term Ecological Research network, where the same measurement carries a different column name at every site and in every era. Its core is a column key: begin_key drafts one, harmonize applies it, and the 2.0.0 release added check_key to validate a key and standardize to apply one to a single dataset. Harmonization of files above 5 MB now runs in roughly half the time.
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.
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.
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.
ltertools serves the Long Term Ecological Research network, where the same measurement carries a different column name at every site and in every era. Its core is a column key: begin_key drafts one, harmonize applies it, and the 2.0.0 release added check_key to validate a key and standardize to apply one to a single dataset. Harmonization of files above 5 MB now runs in roughly half the time.
Development has moved from breadth to depth. The first year added assorted utilities — temperature conversion, solar day length, a site timeline — while the last two releases have concentrated on the key workflow itself: incremental key expansion, validation, per-dataset application, and speed. A dependency archival forced the removal of the JSON helper, trimming the package back toward that core.
The key workflow now has draft, expand, check and apply steps, so the remaining gap is diagnostics on the harmonized output; the entries show no other thread in progress.
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 ltertools.
France's national flood statistics, ported out of Fortran and into R.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
Fast design-based estimators for experiments, coasting on CRAN patches.
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
IP address vectors for R that hit 1.0 and then went quiet.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all bolasso alternatives → · See all ltertools alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. bolasso and ltertools 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bolasso and ltertools 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.
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.
Top ltertools alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ltertools alternatives" section above for the current picks, or visit /alternatives/ltertools for the full list with editorial commentary on each.