EvoPhylo
EvoPhylo added BEAST2 alongside MrBayes, then went quiet for two years.
Comparison · Analytics
rjdqa vs timeplyr
A side-by-side editorial comparison of rjdqa and timeplyr — release velocity, themes, recent moves, and the top alternatives to consider.
rjdqa vs timeplyr: at a glance
What is rjdqa?
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().
What is timeplyr?
timeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.
timeplyr is a time-aware companion to dplyr and data.table, built around a fixed-width time_interval vector class. The 1.0.0 rewrite removed most non-time functions and pushed the C++ layer out into the separate cheapr package, leaving a narrower surface than the 0.8.x line. Releases since have been small: one feature batch in 1.1.1 and a pair of bug fixes in 1.1.2.
rjdqa vs timeplyr: editorial side-by-side
rjdqa
0.0ANALYTICS
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
◆ Current state
rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().
◆ Where it's heading
The package has converged on a single deliverable and is tuning it against reviewer practice. Each release adds a parameter that lets the analyst include or exclude one element of the dashboard, or adjusts how densely information is packed into the fixed space of the layout. The td_effect default — print the test only for monthly series — is characteristic: the knowledge about when a diagnostic is meaningful is being encoded into the tool rather than left to the reader.
◆ Prediction
The pattern of adding one toggle per diagnostic per release points at the same thing again, most likely another test given a conditional default, rather than a new dashboard function alongside the two that exist.
timeplyr
0.0ANALYTICS
timeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.
◆ Current state
timeplyr is a time-aware companion to dplyr and data.table, built around a fixed-width time_interval vector class. The 1.0.0 rewrite removed most non-time functions and pushed the C++ layer out into the separate cheapr package, leaving a narrower surface than the 0.8.x line. Releases since have been small: one feature batch in 1.1.1 and a pair of bug fixes in 1.1.2.
◆ Where it's heading
The arc is consolidation, not expansion. Each release since 1.0.0 trims arguments, renames functions toward a single vocabulary (width, timespan, grid), or fixes an interaction with data.table's own rolling functions. The package increasingly acts as a thin time layer over cheapr and data.table rather than carrying its own implementation.
◆ Prediction
Expect continued small releases tracking cheapr and data.table changes rather than new function families; the entries show no in-progress feature work beyond the ggplot2-friendly breakpoint helpers introduced in 1.1.1.
Alternatives to rjdqa and timeplyr
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 rjdqa or timeplyr.
treespace
treespace ships once every year or two, and only when CRAN or a user forces it.
Rpath
Rpath 1.1.0 learns to read Ecopath's own files, easing migration off the desktop tool.
TAF
TAF keeps turning ICES stock assessments into reproducible, dependency-pinned projects.
parallelDist
parallelDist is in pure preservation mode — one build fix every few years.
cairo
Cairo finally catches R's graphics engine, all the way to GE API 16.
See all rjdqa alternatives → · See all timeplyr alternatives →
Recent activity from rjdqa and timeplyr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agotimeplyrLeap-day and time_complete(.by=) bug fixes
- 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
- 10mo agotimeplyrtime_breakpoints added; rolling calcs realigned to data.table
- 1y agotimeplyrFixed-width time intervals; non-time functions removed ⚡
- 1y agorjdqaFix tail() usage on ts objects
- 1y agotimeplyrtime_intervals on by default; year_month/year_quarter ggplot2 scales
- 2y agotimeplyrRegression fixes after the 0.8.0 refactor
- 2y agotimeplyrC++ layer moved to cheapr; time_interval class introduced
- 2y agorjdqaFix dependency minimums and outlier ordering
- 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
- 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
- 7y agorjdqaFirst CRAN release
Frequently asked questions
What is the difference between rjdqa and timeplyr?
They serve adjacent needs but don't currently overlap on shipped themes. rjdqa and timeplyr 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 rjdqa better than timeplyr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rjdqa and timeplyr 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 rjdqa?
Top rjdqa alternatives in Analytics are ranked by recent ship velocity. Browse the "rjdqa alternatives" section above for the current picks, or visit /alternatives/rjdqa-r for the full list with editorial commentary on each.
What are the best alternatives to timeplyr?
Top timeplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "timeplyr alternatives" section above for the current picks, or visit /alternatives/timeplyr for the full list with editorial commentary on each.