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hdnom vs redist

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

Shared themes:r

hdnom vs redist: at a glance

Featurehdnomredist
SectorAnalyticsAnalytics
Velocity score5.00.0
Sparks · 30d00
Top themessurvival analysis, r, regularization, nomogramsr, redistricting, monte-carlo, sampling
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is hdnom?

hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to

hdnom builds nomograms and validation/calibration workflows for high-dimensional Cox survival models on top of glmnet, ncvreg and penalized. The package's own interface has been stable since the 6.0.0 refactor in 2019; every release since has been maintenance. The recent run is entirely about surviving glmnet's evolution — a lambda-selection rule argument, then a cox.ties argument pinning the old tie handling.

Read the full hdnom trajectory →

What is redist?

redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.

redist simulates redistricting plans via sequential Monte Carlo, merge-split MCMC and short-burst optimization, and it is the analysis tool behind a good deal of published districting work. The user-facing shape was set by 4.0.1's constraint interface and the split of metrics into the redistmetrics package; since then the changes are in the algorithms. The most consequential recent one replaces the SMC label-counting adjustment with a backward kernel that removes approximation error outright.

Read the full redist trajectory →

hdnom vs redist: editorial side-by-side

H
hdnom
ANALYTICS
5.0

hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to

◆ Current state

hdnom builds nomograms and validation/calibration workflows for high-dimensional Cox survival models on top of glmnet, ncvreg and penalized. The package's own interface has been stable since the 6.0.0 refactor in 2019; every release since has been maintenance. The recent run is entirely about surviving glmnet's evolution — a lambda-selection rule argument, then a cox.ties argument pinning the old tie handling.

◆ Where it's heading

The releases track two upstream pressures with no feature work of its own. glmnet is the larger one: its 4.1-9 change to how Cox cross-validation errors are normalized made lambda.1se select null models far more often, forcing hdnom to expose a rule argument and switch its examples to lambda.min. R-devel is the other, producing a steady trickle of strict-headers, deprecated-symbol and check-note fixes. The pattern is consistent — absorb the upstream change, default to whatever preserves existing behaviour, let users opt into the new one.

◆ Prediction

The cox.ties default is explicitly pinned to "breslow" to silence glmnet's migration warning, which is a deferral rather than a decision; expect a future release to flip that default to "efron" once glmnet completes the transition.

R
redist
ANALYTICS
0.0

redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.

◆ Current state

redist simulates redistricting plans via sequential Monte Carlo, merge-split MCMC and short-burst optimization, and it is the analysis tool behind a good deal of published districting work. The user-facing shape was set by 4.0.1's constraint interface and the split of metrics into the redistmetrics package; since then the changes are in the algorithms. The most consequential recent one replaces the SMC label-counting adjustment with a backward kernel that removes approximation error outright.

◆ Where it's heading

The direction is toward exactness and throughput at once — the new kernel is described as both eliminating approximation error and costing far less computation, and successive releases keep adding parallelism, most recently to the flip algorithm. Feature growth has moved into the optimization side, where short-burst gained multiple independent scorers and a Pareto frontier. The release notes are not a reliable ledger: 4.3.1 ships the identical text as 4.3.0.

◆ Prediction

Expect the remaining single-threaded algorithms to gain the chains-style parallelism that flip just received, following the pattern SMC established several releases ago.

Alternatives to hdnom and redist

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 hdnom or redist.

See all hdnom alternatives → · See all redist alternatives →

Recent activity from hdnom and redist

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

  1. 18d agohdnomhdnom 6.2.1
  2. 18d agohdnomhdnom 6.2.0 pins Cox tie handling ahead of glmnet's migration
  3. 6mo agoredistParallel chains for redist_flip()
  4. 6mo agoredistPatch release reusing the 4.3.0 notes
  5. 10mo agoredistSMC backward kernel removes label-counting approximation error
  6. 1y agohdnomhdnom 6.1.0 exposes lambda selection after a glmnet normalization change
  7. 1y agohdnomhdnom 6.0.4
  8. 2y agohdnomhdnom 6.0.3
  9. 2y agoredistMulti-objective short-burst search with Pareto frontier
  10. 3y agohdnomhdnom 6.0.2
  11. 3y agoredistredist_ci interface and faster loop-erased random walk
  12. 4y agoredistredist_constr() unifies constraints and admits user-defined ones

Frequently asked questions

What is the difference between hdnom and redist?

Both compete on the same themes — r — within Analytics. hdnom 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.

Is hdnom better than redist?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hdnom 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.

What are the best alternatives to hdnom?

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

What are the best alternatives to redist?

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