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Comparison · Analytics

reda vs reliagrowr

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

Shared themes:r-package

reda vs reliagrowr: at a glance

Featureredareliagrowr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessurvival-analysis, recurrent-events, maintenance-mode, cranreliability-engineering, r-package, repairable-systems, mcp
Last editorial update48m ago5h 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 reliagrowr?

A reliability growth package put its models behind an MCP server for AI assistants to call.

ReliaGrowR fits reliability growth models to failure data — Crow-AMSAA and Duane, with maximum likelihood estimation, confidence bounds, prediction, and reliability demonstration test planning. The last year widened it well past growth curves into repairable systems: parametric non-homogeneous Poisson process fitting with automatic change point detection, non-parametric mean cumulative function estimation, and system exposure calculation. The most recent release adds goodness-of-fit statistics and exposes the package's functions as Model Context Protocol tools.

Read the full reliagrowr trajectory →

reda vs reliagrowr: 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.

R
reliagrowr
ANALYTICS
0.0

A reliability growth package put its models behind an MCP server for AI assistants to call.

◆ Current state

ReliaGrowR fits reliability growth models to failure data — Crow-AMSAA and Duane, with maximum likelihood estimation, confidence bounds, prediction, and reliability demonstration test planning. The last year widened it well past growth curves into repairable systems: parametric non-homogeneous Poisson process fitting with automatic change point detection, non-parametric mean cumulative function estimation, and system exposure calculation. The most recent release adds goodness-of-fit statistics and exposes the package's functions as Model Context Protocol tools.

◆ Where it's heading

Two arcs run in parallel. The statistical one is a steady march from plotting a growth curve to modelling recurrent failures properly — segmented NHPP models that detect their own change points, Nelson-Aalen estimation, Cramér-von Mises and Kolmogorov-Smirnov statistics for judging the fits. The interface one is newer and more unusual: the package now ships an MCP server, and its sibling plotting package followed with one two weeks later, so this is a deliberate direction across the maintainer's reliability suite rather than a single experiment. Naming and S3 conventions were cleaned up early, which is what made a uniform tool surface plausible later.

◆ Prediction

Given the sibling packages moved to MCP within weeks of each other, the remaining tools in the suite are the obvious next candidates; on the statistical side, goodness-of-fit having just arrived suggests model comparison and selection helpers are the natural follow-on.

Alternatives to reda and reliagrowr

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 reliagrowr.

See all reda alternatives → · See all reliagrowr alternatives →

Recent activity from reda and reliagrowr

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

  1. 2mo agoreliagrowrReliability growth models exposed as MCP tools
  2. 4mo agoreliagrowrRepairable systems analysis arrives: NHPP, MCF, exposure
  3. 4mo agoreliagrowrMaximum likelihood fitting and failure simulation
  4. 8mo agoreliagrowrReliaGrowR 0.3.2
  5. 9mo agoreliagrowrMore plotting and printing options for RGA and Duane models
  6. 10mo agoreliagrowrS3 methods replace the ad hoc plotting functions
  7. 11mo agoredaggplot2 and grDevices demoted to Suggests
  8. 1y agoredaTest example and documentation typo fixes
  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 reliagrowr?

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

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

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