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gsDesign2 vs riem

A side-by-side editorial comparison of gsDesign2 and riem — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

gsDesign2 vs riem: at a glance

FeaturegsDesign2riem
SectorAnalyticsAnalytics
Velocity score3.80.0
Sparks · 30d10
Top themesclinical-trials, group-sequential, biostatistics, pharmaverseweather-data, api-client, r-package, ropensci
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is gsDesign2?

Group sequential design tooling that now monitors for harm, not just efficacy and futility.

gsDesign2 is the Merck-authored R package for group sequential clinical trial design under non-proportional hazards, and it has spent the last two years filling in the statistical surface its predecessor gsDesign established. Recent releases added conditional power (gs_cp, gs_cp_npe), sequential p-values, risk-difference designs with minimal risk weighting, and boundary updates from blinded interim estimates. Version 1.2.0 adds harm boundaries across the AHR and NPE design and power functions, wired through every summary and table export path.

Read the full gsDesign2 trajectory →

What is riem?

A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.

riem pulls observations from the Iowa Environmental Mesonet's weather-station network. Its release history is two threads: successive rewrites of the HTTP and test-mocking stack, and a gradual tightening of function arguments that culminated in 1.0.0 removing convenient-but-dangerous defaults. Contributions come partly from IEM's own maintainer.

Read the full riem trajectory →

gsDesign2 vs riem: editorial side-by-side

G
gsDesign2
ANALYTICS
3.8

Group sequential design tooling that now monitors for harm, not just efficacy and futility.

◆ Current state

gsDesign2 is the Merck-authored R package for group sequential clinical trial design under non-proportional hazards, and it has spent the last two years filling in the statistical surface its predecessor gsDesign established. Recent releases added conditional power (gs_cp, gs_cp_npe), sequential p-values, risk-difference designs with minimal risk weighting, and boundary updates from blinded interim estimates. Version 1.2.0 adds harm boundaries across the AHR and NPE design and power functions, wired through every summary and table export path.

◆ Where it's heading

The package is converging on parity with gsDesign while extending past it — each release either closes a gap against the older package or adds a boundary type gsDesign never had. A visible second track is output plumbing: every new statistical feature now arrives already threaded through summary(), gs_bound_summary(), as_gt(), and as_rtf(), which is what regulatory submission work actually consumes. Performance work is steady but secondary, with gs_design_ahr() roughly 2x faster in 1.1.9.

◆ Prediction

Expect the harm boundary work to propagate into the WLR and risk-difference design families, which are the two design branches 1.2.0 left untouched, along with a vignette bridging harm boundaries to the remaining gsDesign test types.

R
riem
ANALYTICS
0.0

A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.

◆ Current state

riem pulls observations from the Iowa Environmental Mesonet's weather-station network. Its release history is two threads: successive rewrites of the HTTP and test-mocking stack, and a gradual tightening of function arguments that culminated in 1.0.0 removing convenient-but-dangerous defaults. Contributions come partly from IEM's own maintainer.

◆ Where it's heading

The HTTP thread has moved through httr to httr2, and mocking from vcr to httptest2 — following the broader rOpenSci HTTP-stack reorganisation rather than any need of its own. The API thread runs the other way: 1.0.0 removed defaults for date_start and station and flipped latlon to FALSE, trading convenience for callers being explicit about what they request. New arguments in the same release widened what a query can ask for.

◆ Prediction

With the API stabilised at 1.0.0 and the HTTP stack settled on httr2, the next release is more likely to expose additional IEM query parameters than to change plumbing again.

Alternatives to gsDesign2 and riem

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 gsDesign2 or riem.

See all gsDesign2 alternatives → · See all riem alternatives →

Recent activity from gsDesign2 and riem

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

  1. 9d agogsDesign2Harm boundaries land in AHR and NPE group sequential designs
  2. 1mo agogsDesign2Conditional power, sequential p-values, and minimal risk weighting
  3. 5mo agogsDesign2gs_design_ahr() can output spending time
  4. 8mo agogsDesign2S3 class refactor and futility boundary vignette
  5. 11mo agogsDesign2h1_spending for WLR power, info_scale across fixed designs
  6. 1y agogsDesign2WLR design spending default corrected to information fraction
  7. 1y agoriem1.0.0 removes defaults and adds query arguments
  8. 1y agoriemDrops the last vcr usage in favour of httptest2
  9. 2y agoriemTimezone and timestamp-parsing fixes
  10. 4y agoriemMoves to httr2 and httptest2
  11. 4y agoriemSwitches to newer IEM metadata web services
  12. 9y agoriemReduces dependencies to tibble alone

Frequently asked questions

What is the difference between gsDesign2 and riem?

Both compete on the same themes — r-package — within Analytics. gsDesign2 is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 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.

Is gsDesign2 better than riem?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gsDesign2 is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 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.

What are the best alternatives to gsDesign2?

Top gsDesign2 alternatives in Analytics are ranked by recent ship velocity. Browse the "gsDesign2 alternatives" section above for the current picks, or visit /alternatives/gsdesign2 for the full list with editorial commentary on each.

What are the best alternatives to riem?

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