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Comparison · Analytics

serofoi vs Tplyr

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

serofoi vs Tplyr: at a glance

FeatureserofoiTplyr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepiverse-trace, serology, force-of-infection, bayesian-inferenceclinical-trials, tables, traceability, r-package
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is serofoi?

serofoi grew a serosurvey simulator alongside the force-of-infection models it was built to fit.

serofoi estimates the force of infection from serological survey data using Bayesian serocatalytic models fitted through Stan. Beyond fitting it now simulates serosurveys — specifying a model and a survey design and generating the data such a survey would produce. The most recent release is visualisation and naming work.

Read the full serofoi trajectory →

What is Tplyr?

Tplyr made clinical summary tables explain where every number came from.

Tplyr builds clinical summary tables through a layered grammar — count, descriptive statistics, and shift layers assembled onto a table object. The 1.0.0 release added a traceability metadata framework that lets a user ask which source rows produced any given cell, and later releases extended it to cases the first pass missed. The package is maintained by Atorus within the pharmaverse ecosystem.

Read the full Tplyr trajectory →

serofoi vs Tplyr: editorial side-by-side

S
serofoi
ANALYTICS
0.0

serofoi grew a serosurvey simulator alongside the force-of-infection models it was built to fit.

◆ Current state

serofoi estimates the force of infection from serological survey data using Bayesian serocatalytic models fitted through Stan. Beyond fitting it now simulates serosurveys — specifying a model and a survey design and generating the data such a survey would produce. The most recent release is visualisation and naming work.

◆ Where it's heading

The package moved from fitting-only to a fit-and-simulate pair. 0.1.0 added simulation from time- or age-varying force-of-infection trends and simplified the fitted object down to a Stan fit; 1.0.2 broadened simulation into full serosurvey generation with its own vignette. 1.0.3 then spent its effort on naming consistency and plotting options, which is what a package does once its scope is set.

◆ Prediction

With simulation and fitting both in place, the natural next step is tooling that closes the loop between them — recovery checks or study-design guidance built on simulated surveys.

T
Tplyr
ANALYTICS
0.0

Tplyr made clinical summary tables explain where every number came from.

◆ Current state

Tplyr builds clinical summary tables through a layered grammar — count, descriptive statistics, and shift layers assembled onto a table object. The 1.0.0 release added a traceability metadata framework that lets a user ask which source rows produced any given cell, and later releases extended it to cases the first pass missed. The package is maintained by Atorus within the pharmaverse ecosystem.

◆ Where it's heading

Post-1.0 work has been about completing the metadata story and filling gaps in layer composition rather than adding table types — metadata for missing subjects, add_anti_join(), missing-subject rows, data limiting, and fixes to nested count layers where an inner value appears under several outer groups. Releases cluster tightly after a major version, then go quiet, and the window ends with a patch issued days after the release it corrects.

◆ Prediction

Further releases will most likely continue closing traceability and nested-layer edge cases rather than introducing new layer types, following the pattern of both post-1.0 feature releases.

Alternatives to serofoi and Tplyr

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 serofoi or Tplyr.

See all serofoi alternatives → · See all Tplyr alternatives →

Recent activity from serofoi and Tplyr

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

  1. 1y agoserofoiConstant FoI plots, r-hat plotting and shorter parameter names
  2. 1y agoserofoiSerological surveys can now be simulated end to end
  3. 2y agoserofoiSimulation functions added; fitted output simplified to a Stan fit
  4. 2y agoTplyrMissing-subject metadata, add_anti_join(), and nested-layer fixes
  5. 3y agoserofoiFirst release: three force-of-infection models and the core modules
  6. 3y agoTplyrMetadata vignette fix and parenthesis hugging
  7. 3y agoTplyrDenominator logic fix ahead of CRAN release
  8. 3y agoTplyrReverse-dependency fix
  9. 3y agoTplyr1.0.0 introduces the traceability metadata framework

Frequently asked questions

What is the difference between serofoi and Tplyr?

They serve adjacent needs but don't currently overlap on shipped themes. serofoi and Tplyr 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 serofoi better than Tplyr?

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

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

What are the best alternatives to Tplyr?

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