rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
Comparison · Analytics
broadcast vs RadialMR
A side-by-side editorial comparison of broadcast and RadialMR — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
broadcast vs RadialMR: at a glance
What is broadcast?
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
broadcast brings dimension-broadcasting semantics to R arrays and lists — elementwise operations between arrays of mismatched shape, plus casting methods between hierarchical lists and dimensional structures. It reached CRAN in September 2025 and has released roughly monthly since, accumulating operators (nor, nand, longest common substring), casting methods (cast_shallow2atomic, cast_hier2dim, hiernames2dimnames), and helpers (vector2array, undim, mbroadcasters).
What is RadialMR?
RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.
RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().
broadcast vs RadialMR: editorial side-by-side
broadcast
0.0ANALYTICS
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
◆ Current state
broadcast brings dimension-broadcasting semantics to R arrays and lists — elementwise operations between arrays of mismatched shape, plus casting methods between hierarchical lists and dimensional structures. It reached CRAN in September 2025 and has released roughly monthly since, accumulating operators (nor, nand, longest common substring), casting methods (cast_shallow2atomic, cast_hier2dim, hiernames2dimnames), and helpers (vector2array, undim, mbroadcasters).
◆ Where it's heading
The package is in its post-launch consolidation year, and the release notes read accordingly: roughly half of each entry is a consistency correction rather than an addition. Zero-length results now carry the right type, comparison operators accept integer and logical inputs, the comment attribute survives operations, and the nand operator was found to be wrongly defined against C++ short-circuit evaluation. That ratio is what a young package looks like while its edge cases are being found.
◆ Prediction
Expect more operators and casting methods on the same cadence, with continued type-consistency corrections as users exercise unusual input combinations. Nothing in the entries points at an architectural change.
RadialMR
0.0ANALYTICS
RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.
◆ Current state
RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().
◆ Where it's heading
This is a package being read closely by its maintainer rather than extended. The 1.2.x line pairs statistical corrections with defensive hardening — an rmr_format class check so unformatted input fails with a clear message, and plotly_radial() dispatching on object class instead of counting list elements. Both are the kind of change made while auditing, not while building.
◆ Prediction
Expect the audit to continue into the remaining estimator internals and print methods rather than new radial variants; the entries show no feature work queued.
Alternatives to broadcast and RadialMR
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 broadcast or RadialMR.
audubon
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
affiner
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
r-ledger
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
See all broadcast alternatives → · See all RadialMR alternatives →
Recent activity from broadcast and RadialMR
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoRadialMRegger_radial() degrees of freedom corrected to n-2
- 2mo agobroadcastnor and longest-common-substring operators added; nand corrected
- 3mo agoRadialMRroxygen2 bumped; package-level helpfile added
- 4mo agoRadialMRUnspecified codebase optimizations
- 5mo agobroadcastcheckNULL, checkNA and ecumprob added
- 8mo agobroadcastZero-length results and attribute preservation made consistent
- 9mo agobroadcastacast dimnames bug fixed; casting and helper surface widens
- 10mo agobroadcastrecurse_classed replaced by recurse_all in casting methods
- 11mo agobroadcastTitle case fixed for CRAN submission
- 1y agoRadialMRggplot2 v4 warning removed from plot_radial()
Frequently asked questions
What is the difference between broadcast and RadialMR?
Both compete on the same themes — r-package — within Analytics. broadcast and RadialMR 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 broadcast better than RadialMR?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broadcast and RadialMR 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 broadcast?
Top broadcast alternatives in Analytics are ranked by recent ship velocity. Browse the "broadcast alternatives" section above for the current picks, or visit /alternatives/broadcast-r for the full list with editorial commentary on each.
What are the best alternatives to RadialMR?
Top RadialMR alternatives in Analytics are ranked by recent ship velocity. Browse the "RadialMR alternatives" section above for the current picks, or visit /alternatives/radialmr for the full list with editorial commentary on each.