compositional.mle
An MLE package rebuilt around composable solvers, then renamed to match.
Comparison · Analytics
hubUtils vs revdbayes
A side-by-side editorial comparison of hubUtils and revdbayes — release velocity, themes, recent moves, and the top alternatives to consider.
hubUtils vs revdbayes: at a glance
What is hubUtils?
The hubverse's shared plumbing, tracking schema versions and converting output types.
hubUtils is the low-level dependency the rest of the hubverse builds on: schema version tracking, config file reading, example test hubs, and conversion between forecast output types. Its releases are small and cadenced to the hubverse schema itself, with a version bump arriving whenever the config schema advances. The recent work is performance rather than surface.
What is revdbayes?
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
revdbayes performs Bayesian extreme value analysis using ratio-of-uniforms sampling, giving random samples rather than MCMC chains. Every entry in the visible window is filed under bug fixes and minor improvements. The most recent, 1.5.7, strips missing values before fitting the generalised Pareto MLE; the two before it are an Rcpp compatibility patch and a response to CRAN check failures that turned out to be false positives.
hubUtils vs revdbayes: editorial side-by-side
hubUtils
0.0ANALYTICS
The hubverse's shared plumbing, tracking schema versions and converting output types.
◆ Current state
hubUtils is the low-level dependency the rest of the hubverse builds on: schema version tracking, config file reading, example test hubs, and conversion between forecast output types. Its releases are small and cadenced to the hubverse schema itself, with a version bump arriving whenever the config schema advances. The recent work is performance rather than surface.
◆ Where it's heading
The through-line is that this package absorbs whatever the schema is doing — v5, then v6 with target-data configuration, each arriving with matching accessors and example hubs so the sibling packages can be tested against something real. convert_output_type() is the one piece of genuine computation here, and it has now been optimised by roughly an order of magnitude, suggesting it is being used at scales the original implementation did not anticipate. Everything else is accessors and fixtures.
◆ Prediction
Expect the next substantive release to track the next hubverse schema version, with any independent work concentrated on convert_output_type(), the only performance-sensitive function in the package.
revdbayes
0.0ANALYTICS
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
◆ Current state
revdbayes performs Bayesian extreme value analysis using ratio-of-uniforms sampling, giving random samples rather than MCMC chains. Every entry in the visible window is filed under bug fixes and minor improvements. The most recent, 1.5.7, strips missing values before fitting the generalised Pareto MLE; the two before it are an Rcpp compatibility patch and a response to CRAN check failures that turned out to be false positives.
◆ Where it's heading
The methods are settled and the release traffic is external: Rcpp issues, CRAN platform checks, documentation anchor requirements. Two of the six releases exist only because CRAN's check farm flagged something, and one of those flags resolved itself. Sibling package profileCI from the same maintainer has been more active, which suggests attention has moved to newer work rather than away from R entirely.
◆ Prediction
Expect further small releases driven by Rcpp or CRAN check changes rather than by the sampling methods.
Alternatives to hubUtils and revdbayes
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 hubUtils or revdbayes.
nabla
nabla dropped its C++ engine to chase exact derivatives at any order.
snowflakeauth
Eight months from first release to keyring caching and workload identity.
kwb.geosalz
A research-project workflow package where the interesting work is in the plumbing.
cyclocomp
A cyclomatic complexity checker that ships once every couple of years, and lands when it does.
lazyeval
A package retired in 2017 just got rewritten against R's public C API.
See all hubUtils alternatives → · See all revdbayes alternatives →
Recent activity from hubUtils and revdbayes
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agohubUtilsconvert_output_type() drops an order of magnitude in time and memory
- 4mo agorevdbayesMissing values now removed before generalised Pareto MLE fitting
- 7mo agohubUtilsGraceful failure when remote resources are unreachable
- 7mo agorevdbayesRcpp patch applied to avoid masking Rf_error()
- 7mo agorevdbayesPatch for macOS CRAN check errors that proved to be false positives
- 9mo agohubUtilsAccessors for target-data.json configuration
- 9mo agohubUtilsSchema v6.0.0 support and two example v6 hubs
- 10mo agohubUtilsLightweight example v5 hubs added for tests
- 1y agohubUtilsconvert_output_type() introduced for sample-to-summary conversion
- 2y agorevdbayesArgument documentation corrected; Rd link anchors fixed
- 2y agorevdbayesRcpp warning fix plus Rd itemize corrections
- 2y agorevdbayesC++11 specification dropped to clear a CRAN note
Frequently asked questions
What is the difference between hubUtils and revdbayes?
They serve adjacent needs but don't currently overlap on shipped themes. hubUtils and revdbayes 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 hubUtils better than revdbayes?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hubUtils and revdbayes 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 hubUtils?
Top hubUtils alternatives in Analytics are ranked by recent ship velocity. Browse the "hubUtils alternatives" section above for the current picks, or visit /alternatives/hubutils for the full list with editorial commentary on each.
What are the best alternatives to revdbayes?
Top revdbayes alternatives in Analytics are ranked by recent ship velocity. Browse the "revdbayes alternatives" section above for the current picks, or visit /alternatives/revdbayes for the full list with editorial commentary on each.