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reda vs splines2

A side-by-side editorial comparison of reda and splines2 — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

reda vs splines2: at a glance

Featureredasplines2
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessurvival-analysis, recurrent-events, maintenance-mode, cranr-package, splines, rcpp, interoperability
Last editorial update1h ago49m ago
WebsiteVisit →Visit →

What is reda?

A mature recurrent-event toolkit in careful maintenance, shedding weight rather than adding surface.

reda provides nonparametric mean cumulative function estimation, gamma-frailty rate regression, and event-data simulation for recurrent-event survival analysis. The core API settled at 0.5.0 when Recur() replaced Survr() and the MCF internals moved to C++. Everything since has been consolidation: small argument additions, method completions, and CRAN hygiene.

Read the full reda trajectory →

What is splines2?

Spline bases built to interoperate: periodic B-splines and an nsk-compatible natural basis.

splines2 provides spline basis functions with their derivatives and integrals, in R and through an Rcpp interface. The 0.5.0 release in mid-2023 set the package's current surface; the four releases since are a correctness fix for natural cubic splines with one internal knot, a plotting argument, a compiler warning, and a documentation repair.

Read the full splines2 trajectory →

reda vs splines2: editorial side-by-side

R
reda
ANALYTICS
0.0

A mature recurrent-event toolkit in careful maintenance, shedding weight rather than adding surface.

◆ Current state

reda provides nonparametric mean cumulative function estimation, gamma-frailty rate regression, and event-data simulation for recurrent-event survival analysis. The core API settled at 0.5.0 when Recur() replaced Survr() and the MCF internals moved to C++. Everything since has been consolidation: small argument additions, method completions, and CRAN hygiene.

◆ Where it's heading

The last three releases contain no new modelling capability at all — a dependency reshuffle, a test-example correction, and a print-order fix. The package is being kept installable and correct rather than extended. Its tightest coupling is to splines2, a sibling package from the same maintainer, which supplies the derivative machinery reda depends on.

◆ Prediction

Expect continued small-cadence CRAN-compliance releases tracking ggplot2 and splines2 changes. The entries show no in-progress feature work, so a substantive release would have to arrive without warning from this feed.

S
splines2
ANALYTICS
0.0

Spline bases built to interoperate: periodic B-splines and an nsk-compatible natural basis.

◆ Current state

splines2 provides spline basis functions with their derivatives and integrals, in R and through an Rcpp interface. The 0.5.0 release in mid-2023 set the package's current surface; the four releases since are a correctness fix for natural cubic splines with one internal knot, a plotting argument, a compiler warning, and a documentation repair.

◆ Where it's heading

The direction is interoperability rather than new mathematics. 0.5.0 added nsk() to match survival::nsk(), an H matrix for converting cubic B-splines produced elsewhere into this package's natural splines, and short aliases meant to be typed inside model formulas. Periodic B-splines were the one genuinely new basis, and its Rcpp knot-sequence handling needed a follow-up fix. Wenjie Wang maintains it alongside intsurv and reda.

◆ Prediction

The last four releases are all corrections, so the next one most likely continues that pattern; a further basis type would break a two-year run of consolidation.

Alternatives to reda and splines2

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 reda or splines2.

See all reda alternatives → · See all splines2 alternatives →

Recent activity from reda and splines2

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 11mo agoredaggplot2 and grDevices demoted to Suggests
  2. 1y agoredaTest example and documentation typo fixes
  3. 1y agosplines2Natural cubic splines fixed for a single internal knot
  4. 2y agosplines2C++20 constructor template warning suppressed
  5. 2y agosplines2plot() accepts a coefficient vector
  6. 2y agosplines2Broken package-level documentation repaired
  7. 3y agosplines2Periodic B-splines, nsk(), and a basis conversion matrix
  8. 3y agosplines2Periodic M-spline knot sequence fixed in the Rcpp interface
  9. 4y agoredasimEvent() gains a user-supplied rate bound
  10. 5y agoredasummary() method completes the Recur object
  11. 5y agoredaDerivatives sourced from splines2's deriv method
  12. 6y agoredaMCF estimates can now skip variance computation

Frequently asked questions

What is the difference between reda and splines2?

Both compete on the same themes — r-package — within Analytics. reda and splines2 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 reda better than splines2?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. reda and splines2 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 reda?

Top reda alternatives in Analytics are ranked by recent ship velocity. Browse the "reda alternatives" section above for the current picks, or visit /alternatives/reda for the full list with editorial commentary on each.

What are the best alternatives to splines2?

Top splines2 alternatives in Analytics are ranked by recent ship velocity. Browse the "splines2 alternatives" section above for the current picks, or visit /alternatives/splines2 for the full list with editorial commentary on each.