cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
hubExamples vs itp
A side-by-side editorial comparison of hubExamples and itp — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
hubExamples vs itp: at a glance
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.
What is itp?
A single-algorithm root-finder that finished its job in 2022 and has been idling since
itp implements one thing: the Interpolate, Truncate, Project root-finding algorithm of Oliveira and Takahashi, which narrows a bracketing interval each iteration and keeps bisection's worst-case guarantee while converging faster on well-behaved functions. The package reached its intended shape within about six weeks of first release, gaining a C++ entry point and the ability to take C++ function pointers. Everything after mid-2022 is compiler and CRAN upkeep.
hubExamples vs itp: editorial side-by-side
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.
itp
0.0ANALYTICS
A single-algorithm root-finder that finished its job in 2022 and has been idling since
◆ Current state
itp implements one thing: the Interpolate, Truncate, Project root-finding algorithm of Oliveira and Takahashi, which narrows a bracketing interval each iteration and keeps bisection's worst-case guarantee while converging faster on well-behaved functions. The package reached its intended shape within about six weeks of first release, gaining a C++ entry point and the ability to take C++ function pointers. Everything after mid-2022 is compiler and CRAN upkeep.
◆ Where it's heading
The arc is short and complete. Three releases in June and July 2022 took the package from an R implementation to one that can run the whole algorithm in C++ and accept user-supplied C++ functions via Rcpp's external pointer framework. Since then the only releases have been reactions to Rcpp changes that would otherwise trip CRAN checks — 2023 and 2026, both traceable to specific upstream Rcpp issues.
◆ Prediction
There is no visible development agenda here; the entries suggest the package surfaces only when Rcpp or CRAN check policy forces a patch.
Alternatives to hubExamples and itp
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 hubExamples or itp.
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 hubExamples alternatives → · See all itp alternatives →
Recent activity from hubExamples and itp
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agohubExampleshubExamples 1.0.1
- 7mo agoitpRcpp Rf_error masking patch, README and help-file typo
- 7mo agohubExampleshubExamples 1.0.0
- 1y agohubExampleshubExamples 0.1.0
- 1y agohubExampleshubExamples 0.0.1
- 2y agoitpRcpp fix clears CRAN check warnings
- 4y agoitpitp_c runs the whole algorithm in C++
- 4y agoitpAccepts C++ function pointers, adds a plot method
- 4y agoitpBracketing interval fix for locally decreasing functions
- 4y agoitpFirst release of the ITP root-finding algorithm
Frequently asked questions
What is the difference between hubExamples and itp?
Both compete on the same themes — r-package — within Analytics. hubExamples and itp 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 hubExamples better than itp?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hubExamples and itp 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 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.
What are the best alternatives to itp?
Top itp alternatives in Analytics are ranked by recent ship velocity. Browse the "itp alternatives" section above for the current picks, or visit /alternatives/itp for the full list with editorial commentary on each.