cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
itp vs tulpaRatio
A side-by-side editorial comparison of itp and tulpaRatio — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
itp vs tulpaRatio: at a glance
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.
What is tulpaRatio?
A Bayesian ratio-modelling package that threw out its Stan dependency and wrote its own sampler
ratiod models ratios, rates and proportions hierarchically, with the stated position that a ratio is a derived quantity and inference should run on the latent numerator and denominator processes rather than their quotient. The 1.0.0 release shipped a native HMC/NUTS backend, removing the Stan dependency that packages in this space normally take as given. Everything since has been sampler optimisation, benchmarked against the Stan implementations it replaced.
itp vs tulpaRatio: editorial side-by-side
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.
tulpaRatio
0.0ANALYTICS
A Bayesian ratio-modelling package that threw out its Stan dependency and wrote its own sampler
◆ Current state
ratiod models ratios, rates and proportions hierarchically, with the stated position that a ratio is a derived quantity and inference should run on the latent numerator and denominator processes rather than their quotient. The 1.0.0 release shipped a native HMC/NUTS backend, removing the Stan dependency that packages in this space normally take as given. Everything since has been sampler optimisation, benchmarked against the Stan implementations it replaced.
◆ Where it's heading
The feed reads as one architectural bet followed by the work to justify it. After the native backend landed, the releases are a steady march of gradient and adaptation work — hand-coded gradients for more model families, L-BFGS mass matrix adaptation, an O2 build — each measured as a speed multiple against Stan. Coverage is tracked openly as a fraction (48 of 60 hand-coded configs), and unresolved problems are named rather than buried, including a deferred GP spatial bug.
◆ Prediction
The hand-coded gradient coverage count is the visible backlog, so the next releases most likely close the remaining configs and resolve the GP spatial issue that the benchmark release explicitly deferred.
Alternatives to itp and tulpaRatio
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 itp or tulpaRatio.
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 itp alternatives → · See all tulpaRatio alternatives →
Recent activity from itp and tulpaRatio
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agotulpaRatioHand-coded gradients reach binomial zero-inflated and hurdle models
- 6mo agotulpaRatioGaussian process sampling reaches roughly 4x Stan
- 7mo agotulpaRatioL-BFGS mass matrix adaptation for MSGP models
- 7mo agotulpaRatioBenchmarks published for 35 of 40 model configurations
- 7mo agoitpRcpp Rf_error masking patch, README and help-file typo
- 7mo agotulpaRatioFirst stable release ships a native HMC/NUTS backend, no Stan required ⚡
- 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 itp and tulpaRatio?
Both compete on the same themes — r-package — within Analytics. itp and tulpaRatio 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 itp better than tulpaRatio?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. itp and tulpaRatio 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 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.
What are the best alternatives to tulpaRatio?
Top tulpaRatio alternatives in Analytics are ranked by recent ship velocity. Browse the "tulpaRatio alternatives" section above for the current picks, or visit /alternatives/tulparatio for the full list with editorial commentary on each.