rjdqa
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
A side-by-side editorial comparison of cfrnow and tidytransit — release velocity, themes, recent moves, and the top alternatives to consider.
A Bayesian real-time CFR estimator that now ships stratified fits and posterior-predictive checks
cfrnow estimates case fatality ratios from line-list data while an outbreak is still running, using a Bayesian mixture-cure survival model registered as an `epidist` model type. Three releases in a month took it from first public release to stratified, partially-pooled fits with posterior-predictive checking. It leans on `distspec` for delay parameterisation, which reached CRAN alongside the 0.2.1 patch.
tidytransit tracks the GTFS spec as it grows, one reader and one router feature at a time.
tidytransit reads GTFS transit feeds into tidy data frames and computes travel times using a RAPTOR implementation. Recent work splits between the reader keeping pace with the spec — locations.geojson in 1.7.0, empty strings parsed as NA in 1.8.0 — and the router gaining realism, most recently in-seat transfers. Feed specifications are now pulled from the automatically parsed GTFS reference rather than maintained by hand.
cfrnow estimates case fatality ratios from line-list data while an outbreak is still running, using a Bayesian mixture-cure survival model registered as an `epidist` model type. Three releases in a month took it from first public release to stratified, partially-pooled fits with posterior-predictive checking. It leans on `distspec` for delay parameterisation, which reached CRAN alongside the 0.2.1 patch.
The arc runs from producing a single corrected CFR number toward supporting a full model-checking workflow. 0.2.0 added the pieces a modeller needs to defend an estimate: replicate line lists replayed through the real-time truncation, an ascertainment-ratio correction for when fatal and non-fatal cases enter the line list at different rates, and per-group CFRs from `brms` formulas. Delay coverage widened from LogNormal and Gamma to Weibull in the same release.
Expect the next release to keep widening covariate and pooling support rather than adding new outcome types, since every 0.2.0 addition extended the existing formula interface instead of replacing it.
tidytransit reads GTFS transit feeds into tidy data frames and computes travel times using a RAPTOR implementation. Recent work splits between the reader keeping pace with the spec — locations.geojson in 1.7.0, empty strings parsed as NA in 1.8.0 — and the router gaining realism, most recently in-seat transfers. Feed specifications are now pulled from the automatically parsed GTFS reference rather than maintained by hand.
The package has settled into tracking an external standard, which is why the changelog reads as a sequence of spec conformance items rather than a roadmap. Parsing responsibility keeps shifting outward to gtfsio, and data sources have moved with the ecosystem, from the retired transitfeeds API to MobilityData. Router changes are rarer than reader changes but land in the same releases.
Further GTFS spec features are the safest expectation, with GTFS-Flex the likeliest area now that locations.geojson reading is in place.
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 cfrnow or tidytransit.
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
A statistician's personal toolbox, growing one plotting utility at a time
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
See all cfrnow alternatives → · See all tidytransit alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. cfrnow is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cfrnow is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top cfrnow alternatives in Analytics are ranked by recent ship velocity. Browse the "cfrnow alternatives" section above for the current picks, or visit /alternatives/cfrnow for the full list with editorial commentary on each.
Top tidytransit alternatives in Analytics are ranked by recent ship velocity. Browse the "tidytransit alternatives" section above for the current picks, or visit /alternatives/tidytransit-r for the full list with editorial commentary on each.