randomwalk
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
Comparison · Analytics
abclass vs treasury
A side-by-side editorial comparison of abclass and treasury — release velocity, themes, recent moves, and the top alternatives to consider.
abclass vs treasury: at a glance
What is abclass?
abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.
An implementation of multi-category angle-based large-margin classifiers with regularization. The capability was assembled in four releases across 2022: group lasso, then group SCAD and MCP penalties, then sparse matrix input, cross-validation via cv.abclass(), an efficient tuning path in et.abclass(), and experimental sup-norm classifiers. After a three-year gap, 0.5.0 simplified how group penalties are specified and 0.5.1 swapped the quadratic programming backend after qpmadr was archived on CRAN.
What is treasury?
A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.
treasury wraps the US Treasury's published rate feeds — bill rates, par yields, forward rates, long-term extrapolated rates, and the HQM and breakeven inflation curves — into one set of R functions. Since 0.3.0 every function returns a data.table, and 0.5.0 added optional on-disk response caching with a one-day default. The most recent release is about data fidelity rather than reach: identifying columns, correct maturity labels, and locale-safe date parsing.
abclass vs treasury: editorial side-by-side
abclass
0.0ANALYTICS
abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.
◆ Current state
An implementation of multi-category angle-based large-margin classifiers with regularization. The capability was assembled in four releases across 2022: group lasso, then group SCAD and MCP penalties, then sparse matrix input, cross-validation via cv.abclass(), an efficient tuning path in et.abclass(), and experimental sup-norm classifiers. After a three-year gap, 0.5.0 simplified how group penalties are specified and 0.5.1 swapped the quadratic programming backend after qpmadr was archived on CRAN.
◆ Where it's heading
The methods surface is complete and the package has moved into maintenance, where releases are triggered by the R ecosystem rather than by research. The one structural habit worth noting is a willingness to change defaults — alpha, epsilon, lum_c and now the cross-validation alignment have all shifted between versions, so results are not stable across upgrades unless arguments are set explicitly.
◆ Prediction
Expect further releases to track CRAN dependency changes, as 0.5.1 did within a day of qpmadr's archival; nothing in the entries points to new penalty families.
treasury
0.0ANALYTICS
A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.
◆ Current state
treasury wraps the US Treasury's published rate feeds — bill rates, par yields, forward rates, long-term extrapolated rates, and the HQM and breakeven inflation curves — into one set of R functions. Since 0.3.0 every function returns a data.table, and 0.5.0 added optional on-disk response caching with a one-day default. The most recent release is about data fidelity rather than reach: identifying columns, correct maturity labels, and locale-safe date parsing.
◆ Where it's heading
Endpoint coverage looks essentially complete, so the work has moved to the metadata a downstream analyst needs to join and audit results — cusip and maturity_date on bill quotes, the feed's updated_at stamp, and the extrapolation factor behind 2002-2006 long-term rate estimates. Error handling is tightening in the same direction: an out-of-range month now fails with a message instead of quietly returning nothing. That is the profile of a wrapper moving from coverage to correctness, where the remaining bugs are the subtle ones that only surface in other people's locales.
◆ Prediction
Expect further column-level enrichment and input validation on the endpoints already covered rather than new data sources, since the structural pieces — data.table returns and caching — are already in place.
Alternatives to abclass and treasury
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 abclass or treasury.
fastml
fastml added survival modelling and leakage-proof resampling, moving past classification and regression.
churon
churon is spending its entire release history getting a Rust ONNX binding through CRAN.
firatheme
firatheme woke up after four years and started fixing what ggplot2 changed underneath it.
bagyo
bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.
rainette
rainette rebuilt its Reinert clustering in 0.2.0, tuned it in 0.3.0, and has coasted since.
See all abclass alternatives → · See all treasury alternatives →
Recent activity from abclass and treasury
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agotreasuryBill rates gain CUSIP and maturity date; locale bug fixed
- 4mo agotreasuryOptional response caching, one day by default
- 7mo agoabclassQuadratic programming backend swapped after CRAN archival
- 10mo agoabclassGroup penalty specification simplified
- 11mo agotreasuryRate functions renamed to singular for consistency
- 1y agotreasuryEvery function now returns a data.table ⚡
- 2y agotreasuryHQM, coupon-issue and breakeven inflation curves added
- 3y agoabclassSparse input, cross-validation and efficient tuning added
- 4y agoabclassGroup SCAD and MCP penalties added
- 4y agoabclassGroup lasso regularization and correctness fixes
- 4y agoabclassFirst release of the angle-based classifiers
Frequently asked questions
What is the difference between abclass and treasury?
They serve adjacent needs but don't currently overlap on shipped themes. abclass and treasury 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 abclass better than treasury?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. abclass and treasury 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 Analytics products to evaluate alongside.
What are the best alternatives to abclass?
Top abclass alternatives in Analytics are ranked by recent ship velocity. Browse the "abclass alternatives" section above for the current picks, or visit /alternatives/abclass for the full list with editorial commentary on each.
What are the best alternatives to treasury?
Top treasury alternatives in Analytics are ranked by recent ship velocity. Browse the "treasury alternatives" section above for the current picks, or visit /alternatives/treasury for the full list with editorial commentary on each.