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Comparison · Analytics

npi vs OneSampleMR

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

npi vs OneSampleMR: at a glance

FeaturenpiOneSampleMR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeshealthcare-data, r-package, api-client, data-validationmendelian randomization, r, instrumental variables, epidemiology
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is npi?

An R client for the US provider registry, tightening its types and edge-case handling

npi wraps the US National Provider Identifier registry API for R users, covering search, validation and summarisation of provider records. The one release in view is a consolidation pass rather than new surface: input normalisation, vectorised validation, and a typed empty result instead of an ambiguous one when a search finds nothing.

Read the full npi trajectory →

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 →

npi vs OneSampleMR: editorial side-by-side

N
npi
ANALYTICS
0.0

An R client for the US provider registry, tightening its types and edge-case handling

◆ Current state

npi wraps the US National Provider Identifier registry API for R users, covering search, validation and summarisation of provider records. The one release in view is a consolidation pass rather than new surface: input normalisation, vectorised validation, and a typed empty result instead of an ambiguous one when a search finds nothing.

◆ Where it's heading

The work is aimed at making the package behave predictably inside larger pipelines. Returning a typed empty `npi_results` object on no matches, and having `npi_is_valid()` accept vectors and return logical vectors, both remove branches a caller would otherwise write by hand. The bug fix follows the same line — `npi_summarize()` no longer drops input rows when a record's nested address or taxonomy data is missing.

◆ Prediction

With a single release visible there is not enough of a pattern to predict a direction confidently; the changes here suggest continued interface tidying rather than new API coverage, but that is one data point.

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.

Alternatives to npi and OneSampleMR

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 npi or OneSampleMR.

See all npi alternatives → · See all OneSampleMR alternatives →

Recent activity from npi and OneSampleMR

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

  1. 1mo agonpiVectorised validation and typed empty search results
  2. 1mo agoOneSampleMROneSampleMR fixes estimates broken by covariate order in the formula
  3. 5mo agoOneSampleMROneSampleMR computes conditional F for three more IV packages
  4. 1y agoOneSampleMROneSampleMR 0.1.6
  5. 2y agoOneSampleMROneSampleMR 0.1.5
  6. 2y agoOneSampleMROneSampleMR 0.1.4
  7. 3y agoOneSampleMROneSampleMR 0.1.3

Frequently asked questions

What is the difference between npi and OneSampleMR?

They serve adjacent needs but don't currently overlap on shipped themes. npi and OneSampleMR 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 npi better than OneSampleMR?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. npi and OneSampleMR 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 npi?

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

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.