← Back to home
Comparison · Analytics

OneSampleMR vs spatstat.geom

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

OneSampleMR vs spatstat.geom: at a glance

FeatureOneSampleMRspatstat.geom
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesmendelian randomization, r, instrumental variables, epidemiologyspatial-statistics, computational-geometry, r-package, three-dimensional
Last editorial update1h ago3h ago
WebsiteVisit →Visit →

What is OneSampleMR?

OneSampleMR found that argument order in a formula was silently changing its estimates

OneSampleMR implements one-sample Mendelian randomization estimators — two-stage predictor substitution, two-stage residual inclusion, and Sanderson-Windmeijer conditional F statistics for instrument strength. The package spent its first years on packaging and dependency upkeep. The 2026 releases turn to substance: broader support for models fitted elsewhere, then a correctness fix for a defect that depended on nothing more than where covariates appeared in a formula.

Read the full OneSampleMR trajectory →

What is spatstat.geom?

The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics

spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.

Read the full spatstat.geom trajectory →

OneSampleMR vs spatstat.geom: editorial side-by-side

O
OneSampleMR
ANALYTICS
0.0

OneSampleMR found that argument order in a formula was silently changing its estimates

◆ Current state

OneSampleMR implements one-sample Mendelian randomization estimators — two-stage predictor substitution, two-stage residual inclusion, and Sanderson-Windmeijer conditional F statistics for instrument strength. The package spent its first years on packaging and dependency upkeep. The 2026 releases turn to substance: broader support for models fitted elsewhere, then a correctness fix for a defect that depended on nothing more than where covariates appeared in a formula.

◆ Where it's heading

Two threads. The first is reach — fsw() now reads models fitted by AER::ivreg(), estimatr::iv_robust() and fixest::feols() in addition to ivreg::ivreg(), which makes conditional F statistics available without refitting in the package's own idiom. The second is hardening: clear errors when more than one exposure is given or when a variable collides with the reserved name y, and print methods that no longer fail on user-specified t0 with log or logit links. Both come largely from user reports rather than a plan.

◆ Prediction

The estimator-support work has been adding one IV-fitting package at a time on outside contributions, so further backends are the likeliest next content — the package's own estimators have been stable since first release.

S
spatstat.geom
ANALYTICS
2.5

The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics

◆ Current state

spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.

◆ Where it's heading

Two threads run through this window. The first is a family-wide push into 3D that originated in the simulation package and has now reached the geometry layer. The second is a slower semantic change: 3.5-0 introduced missing or unavailable (NA) spatial objects, and 3.6-0 followed with more facilities for handling them, meaning an absent window or image became a representable value rather than an error. Around both, the plotting and discretisation code accretes steadily — nonlinear colour maps, plot backgrounds, transparency control, signed distance transforms, and repeated attention to boundary pixels.

◆ Prediction

Expect the 3D surface here to keep filling in behind the simulation package rather than leading it, given that 3.8-2 follows the 3D simulation release by two months. The entries give no indication that the NA work is finished, since it has already spanned two releases.

Alternatives to OneSampleMR and spatstat.geom

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 OneSampleMR or spatstat.geom.

See all OneSampleMR alternatives → · See all spatstat.geom alternatives →

Recent activity from OneSampleMR and spatstat.geom

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

  1. 20d agospatstat.geomMore three-dimensional point pattern capabilities
  2. 1mo agoOneSampleMROneSampleMR fixes estimates broken by covariate order in the formula
  3. 2mo agospatstat.geomBetter boundary pixel handling when discretising windows
  4. 5mo agoOneSampleMROneSampleMR computes conditional F for three more IV packages
  5. 6mo agospatstat.geomAnalytic level sets and signed distance transforms
  6. 10mo agospatstat.geomNA object handling extended; clickpoly gains grid snapping
  7. 1y agospatstat.geomNA spatial objects, hole removal and connected components
  8. 1y agospatstat.geomNonlinear colour and symbol maps; half-open quadrat tiles
  9. 1y agoOneSampleMROneSampleMR 0.1.6
  10. 2y agoOneSampleMROneSampleMR 0.1.5
  11. 2y agoOneSampleMROneSampleMR 0.1.4
  12. 3y agoOneSampleMROneSampleMR 0.1.3

Frequently asked questions

What is the difference between OneSampleMR and spatstat.geom?

They serve adjacent needs but don't currently overlap on shipped themes. spatstat.geom is currently shipping more aggressively (velocity 2.5 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 OneSampleMR better than spatstat.geom?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spatstat.geom is currently shipping more aggressively (velocity 2.5 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 OneSampleMR?

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

What are the best alternatives to spatstat.geom?

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