cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
BORG vs hubExamples
A side-by-side editorial comparison of BORG and hubExamples — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
BORG vs hubExamples: at a glance
What is BORG?
A cross-validation guard that refuses to run random CV on dependent data unless you insist
BORG detects spatial, temporal and clustered dependence in a modelling dataset and generates a cross-validation scheme that respects it — spatial blocks, temporal blocks, group folds — rather than letting random splits leak information between train and test. Its distinguishing choice is enforcement: when it finds dependence, random CV is blocked outright and needs an explicit allow_random=TRUE to proceed. The package also wraps the standard rsample and caret entry points so the guard applies inside existing workflows.
What is hubExamples?
Example data for the hubverse, moving whenever the standards it demonstrates move.
hubExamples ships the reference datasets that hubverse vignettes and downstream packages use to demonstrate forecast and target data. Its releases track the hubverse specification rather than any independent roadmap: 1.0.0 exists because the target time series standard changed, and 0.1.0 because the oracle output terminology did. The current release, 1.0.1, is a single fix for column deserialisation on systems without arrow.
BORG vs hubExamples: editorial side-by-side
BORG
0.0ANALYTICS
A cross-validation guard that refuses to run random CV on dependent data unless you insist
◆ Current state
BORG detects spatial, temporal and clustered dependence in a modelling dataset and generates a cross-validation scheme that respects it — spatial blocks, temporal blocks, group folds — rather than letting random splits leak information between train and test. Its distinguishing choice is enforcement: when it finds dependence, random CV is blocked outright and needs an explicit allow_random=TRUE to proceed. The package also wraps the standard rsample and caret entry points so the guard applies inside existing workflows.
◆ Where it's heading
The entire visible history is a single day, and the sequence within it is coherent rather than churn: enforcement first, then the evidence layer, then framework integration, then idiomatic R polish. The evidence work matters to the pitch — borg_compare_cv() runs random against blocked CV so users see the inflation on their own data instead of taking the warning on faith, and the methods-text and certificate exports are aimed squarely at getting this into published papers. By the final release the interface has been rebuilt on standard S3 plot and summary methods.
◆ Prediction
The wrappers so far cover rsample and caret; tidymodels and mlr3 are the obvious remaining entry points if the guard is to reach the workflows it hasn't yet intercepted.
hubExamples
0.0ANALYTICS
Example data for the hubverse, moving whenever the standards it demonstrates move.
◆ Current state
hubExamples ships the reference datasets that hubverse vignettes and downstream packages use to demonstrate forecast and target data. Its releases track the hubverse specification rather than any independent roadmap: 1.0.0 exists because the target time series standard changed, and 0.1.0 because the oracle output terminology did. The current release, 1.0.1, is a single fix for column deserialisation on systems without arrow.
◆ Where it's heading
This is a downstream member of the hubverse package family, alongside hubUtils, hubData and hubValidations, and it moves when they define something new. The pattern across all four entries is the same: a standard changes upstream, hubExamples updates its data objects and vignettes to match. Sibling package hubAdmin has not shipped since November 2025, so the cohort is not currently in a coordinated wave.
◆ Prediction
The next release will most likely follow the next hubverse data-standard revision rather than lead it.
Alternatives to BORG and hubExamples
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 BORG or hubExamples.
MetaboAnalystR
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
fmtr
Rebuilding SAS's formatting layer in R, one format specification at a time
betaselectr
Standardised coefficients for models where standardising everything is wrong — but the feed only links out
SSN2
Stream-network spatial models learning to run on data that no longer fits in memory
BiocManager
Bioconductor's installer, frozen at 1.30.x and tuned almost entirely through environment variables
See all BORG alternatives → · See all hubExamples alternatives →
Recent activity from BORG and hubExamples
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agohubExampleshubExamples 1.0.1
- 7mo agoBORGInterface rebuilt on standard S3 plot and summary methods
- 7mo agoBORGGuarded wrappers for rsample and caret splitting functions
- 7mo agoBORGEmpirical inflation comparison and publication-ready reporting
- 7mo agoBORGRandom CV blocked by default when dependence is detected ⚡
- 7mo agoBORGVersion bump to 0.1.1
- 7mo agohubExampleshubExamples 1.0.0
- 1y agohubExampleshubExamples 0.1.0
- 1y agohubExampleshubExamples 0.0.1
Frequently asked questions
What is the difference between BORG and hubExamples?
Both compete on the same themes — r-package — within Analytics. BORG and hubExamples 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 BORG better than hubExamples?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. BORG and hubExamples 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 BORG?
Top BORG alternatives in Analytics are ranked by recent ship velocity. Browse the "BORG alternatives" section above for the current picks, or visit /alternatives/borg for the full list with editorial commentary on each.
What are the best alternatives to hubExamples?
Top hubExamples alternatives in Analytics are ranked by recent ship velocity. Browse the "hubExamples alternatives" section above for the current picks, or visit /alternatives/hubexamples for the full list with editorial commentary on each.