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Comparison · Analytics

mapsf vs RBesT

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

mapsf vs RBesT: at a glance

FeaturemapsfRBesT
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescartography, thematic-maps, spatial, base-graphicsbayesian-statistics, clinical-trials, stan, r-language
Last editorial update1h ago40m ago
WebsiteVisit →Visit →

What is mapsf?

Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.

mapsf produces thematic maps on R's base graphics device — choropleths, proportional symbols, typology maps, rasters, and their combinations, with legends, scale bars, north arrows, and insets as composable elements. Version 1.0.0 was the structural release, introducing a theming system that deprecated eight scattered styling arguments and adding mf_png() and mf_svg() export helpers plus alpha transparency across map types. The 1.1.x and 1.2.x line since then has been steady refinement: background and extent control on the drawing functions, decimal and thousands-separator control in legends, and label placement arguments.

Read the full mapsf trajectory →

What is RBesT?

RBesT is teaching its Bayesian decision rules to answer two-sided questions.

RBesT builds meta-analytic-predictive priors — the machinery for borrowing historical control data into a new trial — and evaluates the operating characteristics of decisions made with them. The stable line has spent several releases on effective sample size: ESS for normal mixtures via a new `family` argument, boundary corrections when no responses or no non-responses are observed, and stabilised ELIR computations. The 1.9-0 release candidate extends the normal, binomial and Poisson outcome functions to two-sided decisions.

Read the full RBesT trajectory →

mapsf vs RBesT: editorial side-by-side

M
mapsf
ANALYTICS
0.0

Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.

◆ Current state

mapsf produces thematic maps on R's base graphics device — choropleths, proportional symbols, typology maps, rasters, and their combinations, with legends, scale bars, north arrows, and insets as composable elements. Version 1.0.0 was the structural release, introducing a theming system that deprecated eight scattered styling arguments and adding mf_png() and mf_svg() export helpers plus alpha transparency across map types. The 1.1.x and 1.2.x line since then has been steady refinement: background and extent control on the drawing functions, decimal and thousands-separator control in legends, and label placement arguments.

◆ Where it's heading

The package has been consolidating control into fewer, more consistent places. Legend handling moved out to the maplegend package in 0.8.0 and the per-element mf_legend_* functions were deprecated in favor of arguments on the map calls themselves; theming replaced ad-hoc style arguments in 1.0.0; and recent releases keep propagating the same argument vocabulary — bg, extent, leg_val_rnd, leg_val_dec, leg_val_big — across every function that should accept it. Determinism is a visible concern too, with 1.2.1 fixing a seed so mf_distr() point positions stop moving between runs.

◆ Prediction

The recent releases are almost entirely argument-parity work across existing functions, so expect that to continue until the vocabulary is uniform rather than any new map type appearing.

R
RBesT
ANALYTICS
0.0

RBesT is teaching its Bayesian decision rules to answer two-sided questions.

◆ Current state

RBesT builds meta-analytic-predictive priors — the machinery for borrowing historical control data into a new trial — and evaluates the operating characteristics of decisions made with them. The stable line has spent several releases on effective sample size: ESS for normal mixtures via a new `family` argument, boundary corrections when no responses or no non-responses are observed, and stabilised ELIR computations. The 1.9-0 release candidate extends the normal, binomial and Poisson outcome functions to two-sided decisions.

◆ Where it's heading

Two currents run through the changelog. One is ESS hardening — nearly every release since 1.7-4 fixes another edge case where the ELIR calculation aborted or returned something unstable, which is what happens when a quantity used to justify prior strength to regulators gets scrutinised. The other is Stan and brms integration debt: array syntax updates, a minimum Stan version bump, truncated prior generation for `mixstanvar`, deterministic EM. The RC's contributor list shows a second active maintainer, and the work is broader than any recent stable release.

◆ Prediction

The release candidate covers all three outcome families and has already absorbed a round of review comments, so the next step is most likely the 1.9-0 CRAN release itself rather than further feature work.

Alternatives to mapsf and RBesT

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 mapsf or RBesT.

See all mapsf alternatives → · See all RBesT alternatives →

Recent activity from mapsf and RBesT

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

  1. 1mo agomapsfLabel placement arguments and deterministic distribution plots
  2. 2mo agomapsfBackground and extent control across the drawing functions
  3. 5mo agoRBesTTwo-sided decisions across normal, binomial and Poisson outcomes
  4. 7mo agomapsfPNG resolution control and legend number formatting
  5. 1y agomapsf1.0.0 introduces theming and deprecates eight style arguments
  6. 1y agoRBesTJSON read and write for mixture objects
  7. 1y agoRBesTess() fixed inside apply functions
  8. 1y agoRBesTESS for normal mixtures in the exponential family
  9. 1y agoRBesTTruncated mixture priors for brms, plus faster Stan models
  10. 1y agomapsfPencil-sketch layers, ckmeans breaks, and border extraction
  11. 2y agomapsfGraticule label display fix
  12. 2y agoRBesTStan array syntax update and CRAN system requirements

Frequently asked questions

What is the difference between mapsf and RBesT?

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

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

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

What are the best alternatives to RBesT?

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