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Comparison · Analytics
NWCTrends vs rjdqa
A side-by-side editorial comparison of NWCTrends and rjdqa — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
NWCTrends vs rjdqa: at a glance
What is NWCTrends?
The salmon status-review trend package, maintained one federal review cycle at a time
NWCTrends fits multivariate state-space trend models to Pacific salmon population data and generates the tables and figures used in NOAA Northwest Fisheries Science Center viability and status reviews. Its release history maps onto those review cycles rather than a development calendar: v1.0 carries the 2015 review code, v1.25 the 2020 review, v1.30 the changes since. The 2026 v1.31 is internal restructuring and a dependency swap.
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().
NWCTrends vs rjdqa: editorial side-by-side
NWCTrends
0.0ANALYTICS
The salmon status-review trend package, maintained one federal review cycle at a time
◆ Current state
NWCTrends fits multivariate state-space trend models to Pacific salmon population data and generates the tables and figures used in NOAA Northwest Fisheries Science Center viability and status reviews. Its release history maps onto those review cycles rather than a development calendar: v1.0 carries the 2015 review code, v1.25 the 2020 review, v1.30 the changes since. The 2026 v1.31 is internal restructuring and a dependency swap.
◆ Where it's heading
Development is driven by reproducibility of a specific government reporting product, so most work goes into making the report generation configurable and the fitting assumptions explicit rather than into new modelling. The 2020 cycle removed hard-coded per-population hacks and made the fitting window an explicit argument; the 2023 cycle moved plot styling into package options and clarified how missing data and zeros are handled in the published tables.
◆ Prediction
The cadence suggests the next substantive release arrives with the next status review rather than before it, most likely continuing the move of report parameters out of function signatures and into structured configuration.
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.
Alternatives to NWCTrends and rjdqa
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 NWCTrends or rjdqa.
geodist
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors
errors keeps making uncertainty print the way each scientific field expects.
CMAQ
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls
enpls has not changed its statistics since 2016 — only its website, twice.
grex
grex is a lookup table with a version number — it ships when the annotation moves.
See all NWCTrends alternatives → · See all rjdqa alternatives →
Recent activity from NWCTrends and rjdqa
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agoNWCTrendsReport params extracted to a list; gdata replaced with readxl
- 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
- 1y agorjdqaFix tail() usage on ts objects
- 2y agorjdqaFix dependency minimums and outlier ordering
- 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
- 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
- 3y agoNWCTrendsPlot options move into package globals; figure data exported to CSV
- 5y agoNWCTrendsExplicit fitting window replaces implicit full-data fits
- 5y agoNWCTrendsInitial release packaging the 2015 status review code
- 7y agorjdqaFirst CRAN release
Frequently asked questions
What is the difference between NWCTrends and rjdqa?
Both compete on the same themes — r-package — within Analytics. NWCTrends and rjdqa 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 NWCTrends better than rjdqa?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. NWCTrends and rjdqa 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 NWCTrends?
Top NWCTrends alternatives in Analytics are ranked by recent ship velocity. Browse the "NWCTrends alternatives" section above for the current picks, or visit /alternatives/nwctrends-r for the full list with editorial commentary on each.
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.