metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
Comparison · Analytics
logrx vs superspreading
A side-by-side editorial comparison of logrx and superspreading — release velocity, themes, recent moves, and the top alternatives to consider.
logrx vs superspreading: at a glance
What is logrx?
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
logrx produces execution logs for R scripts in regulated clinical work, recording what ran, what it returned, and which unapproved packages or functions were used. Its release notes are raw merged-PR lists rather than written changelogs, which makes the substance hard to read from the feed. The most recent release, 0.2.2 in June 2023, exists to track tidyselect and dplyr changes.
What is superspreading?
superspreading now asks whether a pathogen will emerge at all, not just how unevenly it spreads.
superspreading quantifies individual-level variation in transmission — the offspring distributions and summary metrics behind the 20/80 rule — and calculates probabilities of epidemic, extinction and containment. With 0.4.0 it added probability_emergence(), estimating whether an introduced pathogen can evolve into sustained human-to-human transmission. The package moved from experimental to stable in the same release.
logrx vs superspreading: editorial side-by-side
logrx
0.0ANALYTICS
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
◆ Current state
logrx produces execution logs for R scripts in regulated clinical work, recording what ran, what it returned, and which unapproved packages or functions were used. Its release notes are raw merged-PR lists rather than written changelogs, which makes the substance hard to read from the feed. The most recent release, 0.2.2 in June 2023, exists to track tidyselect and dplyr changes.
◆ Where it's heading
Feature work concentrated in the 0.1 line — return codes, a results writer, a to_report parameter, and logging of unapproved package and function use — and the 0.2 releases have been compatibility maintenance and hotfixes. Three years of silence in a pharmaverse that has otherwise kept shipping suggests the package reached the shape its users needed rather than that it was abandoned mid-design.
◆ Prediction
Nothing in these entries points to planned work; the likeliest trigger for a release is a breaking change in tidyverse dependencies, which is what produced the last one.
superspreading
0.0ANALYTICS
superspreading now asks whether a pathogen will emerge at all, not just how unevenly it spreads.
◆ Current state
superspreading quantifies individual-level variation in transmission — the offspring distributions and summary metrics behind the 20/80 rule — and calculates probabilities of epidemic, extinction and containment. With 0.4.0 it added probability_emergence(), estimating whether an introduced pathogen can evolve into sustained human-to-human transmission. The package moved from experimental to stable in the same release.
◆ Where it's heading
Scope has widened one published framework at a time. 0.2.0 added network-based reproduction numbers, 0.3.0 added the Lloyd-Smith formulation of proportion_transmission() and vendored a branching-process simulator to drop the {bpmodels} dependency, and 0.4.0 implemented and extended the Antia et al. emergence model. Each addition brings a vignette reproducing the source paper's figures, which is how this package treats a method as delivered.
◆ Prediction
The established pattern — implement a published framework, extend it, document it against the original figures — makes another literature-derived addition likelier than internal refactoring.
Alternatives to logrx and superspreading
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 logrx or superspreading.
marquee
marquee is filling in the typographic details — outlines, border types, real font metrics for underlines.
lobstr
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
GSODR
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
giscoR
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
FedData
FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.
See all logrx alternatives → · See all superspreading alternatives →
Recent activity from logrx and superspreading
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agosuperspreadingprobability_emergence() extends the package into pathogen emergence risk ⚡
- 1y agosuperspreadingLloyd-Smith transmission proportions; bpmodels dependency removed
- 2y agosuperspreadingNetwork reproduction numbers and joint individual/population control
- 2y agosuperspreadingFirst release: offspring distributions and epidemic risk metrics
- 3y agologrxAlignment with tidyselect and dplyr changes
- 3y agologrxRelease v0.2.1
- 3y agologrxFormatted log output plus CRAN readiness work
- 4y agologrxPackage renamed to logrx; return codes and results writer land
Frequently asked questions
What is the difference between logrx and superspreading?
They serve adjacent needs but don't currently overlap on shipped themes. logrx and superspreading 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 logrx better than superspreading?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. logrx and superspreading 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 logrx?
Top logrx alternatives in Analytics are ranked by recent ship velocity. Browse the "logrx alternatives" section above for the current picks, or visit /alternatives/logrx for the full list with editorial commentary on each.
What are the best alternatives to superspreading?
Top superspreading alternatives in Analytics are ranked by recent ship velocity. Browse the "superspreading alternatives" section above for the current picks, or visit /alternatives/superspreading for the full list with editorial commentary on each.