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nmar vs simlandr

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

nmar vs simlandr: at a glance

Featurenmarsimlandr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessurvey statistics, nonresponse, empirical likelihood, bootstrapr-package, dynamical-systems, visualization, api-consolidation
Last editorial update3h ago53m ago
WebsiteVisit →Visit →

What is nmar?

NMAR landed on CRAN with two nonresponse estimators behind one interface, then started tuning it.

Three releases in seven weeks, starting from nothing. The initial CRAN release implements empirical likelihood (Qin, Leung and Shao 2002) and both parametric and nonparametric exponential tilting (Riddles, Kim and Im 2016) for estimating means under nonignorable nonresponse, all reachable through a single nmar() call with formula syntax and direct support for survey.design objects. Since then the work has been operational: a configurable bootstrap backend and stricter input validation.

Read the full nmar trajectory →

What is simlandr?

Potential landscape tooling settling onto standard R generics after two rounds of renaming.

simlandr builds potential landscape plots from simulations of dynamic systems, with barrier-height calculations and batch simulation grids. Its three substantive releases are all consolidation: parameters renamed, functions renamed, defaults removed. By 0.3.0 the bespoke accessors had been replaced by ggplot2's autolayer() and base summary(), and the package carried print, summary, and plot methods for its own classes.

Read the full simlandr trajectory →

nmar vs simlandr: editorial side-by-side

N
nmar
ANALYTICS
0.0

NMAR landed on CRAN with two nonresponse estimators behind one interface, then started tuning it.

◆ Current state

Three releases in seven weeks, starting from nothing. The initial CRAN release implements empirical likelihood (Qin, Leung and Shao 2002) and both parametric and nonparametric exponential tilting (Riddles, Kim and Im 2016) for estimating means under nonignorable nonresponse, all reachable through a single nmar() call with formula syntax and direct support for survey.design objects. Since then the work has been operational: a configurable bootstrap backend and stricter input validation.

◆ Where it's heading

The package is positioning itself as the general interface to nonignorable-nonresponse estimation rather than a reference implementation of one paper — shared architecture across engines, one formula API, and integration with the survey package so weights and stratification come for free. The follow-up releases suggest the next constraint is compute: bootstrap variance estimation is the expensive part, and it now dispatches to future.apply when a parallel plan exists.

◆ Prediction

Expect further engines under the same nmar() interface or wider bootstrap support, since the architecture was explicitly refactored to share structure across estimators.

S
simlandr
ANALYTICS
0.0

Potential landscape tooling settling onto standard R generics after two rounds of renaming.

◆ Current state

simlandr builds potential landscape plots from simulations of dynamic systems, with barrier-height calculations and batch simulation grids. Its three substantive releases are all consolidation: parameters renamed, functions renamed, defaults removed. By 0.3.0 the bespoke accessors had been replaced by ggplot2's autolayer() and base summary(), and the package carried print, summary, and plot methods for its own classes.

◆ Where it's heading

Every release trades a package-specific name for a conventional one - var and par became arg and ele, get_geom() became an autolayer() method, get_barrier_height() became a summary() method, hash_big.matrix became hash_big_matrix. The one methodological change, an adjusted minimal energy path algorithm, arrived inside a release otherwise full of renames. Removing default values for barrier calculation because they were often unsuitable reads as the maintainer deciding the defaults were doing harm.

◆ Prediction

The feed stops at 0.3.0 in late 2022, mid-consolidation; these entries give no indication of what followed, if anything did.

Alternatives to nmar and simlandr

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 nmar or simlandr.

See all nmar alternatives → · See all simlandr alternatives →

Recent activity from nmar and simlandr

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

  1. 6mo agonmarBootstrap backend now parallel-aware and configurable
  2. 7mo agonmarCRAN submission fixes and DOI references
  3. 8mo agonmarNMAR 0.1.0
  4. 3y agosimlandrAccessors replaced by autolayer and summary methods
  5. 3y agosimlandrroxygen2 updated for HTML5 compatibility
  6. 4y agosimlandrBatch simulation arguments renamed; energy path algorithm adjusted
  7. 4y agosimlandrManual improved and a test function added
  8. 5y agosimlandrPackage cleaned for CRAN compatibility

Frequently asked questions

What is the difference between nmar and simlandr?

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

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

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

What are the best alternatives to simlandr?

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