← Back to home
Comparison · Analytics

fillpattern vs fitVARMxID

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

Shared themes:r-package

fillpattern vs fitVARMxID: at a glance

FeaturefillpatternfitVARMxID
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesggplot2, data-visualization, accessibility, graphicstime-series, structural-equation-modeling, r-package, openmx
Last editorial update51m ago3h ago
WebsiteVisit →Visit →

What is fillpattern?

Pattern fills for ggplot2, hardened against the ways users write sizes

fillpattern provides pattern fills — stripes, bricks, dots — for ggplot2 and base R graphics, aimed at figures that must stay legible in greyscale or to colour-blind readers. The 1.0.3 release is mostly defensive: size modifier strings ending in a colon no longer swap width for height, modify_size() reports invalid units instead of crashing and understands in, inches and cm, and a background colour bug in scale_fill_pattern() is fixed. The minimum R version rises to 4.2.0 for recent graphics engine features.

Read the full fillpattern trajectory →

What is fitVARMxID?

A VAR-model fitting package acquiring the standard R methods it launched without

fitVARMxID fits vector autoregressive models via OpenMx identification, and is one of several packages maintained by the jeksterslab account. Its recent releases are small and additive: confint() and plot() methods, a save function, and before that a documentation pass. The feed also carries automated build commits that are pure CI artifacts.

Read the full fitVARMxID trajectory →

fillpattern vs fitVARMxID: editorial side-by-side

F
fillpattern
ANALYTICS
0.0

Pattern fills for ggplot2, hardened against the ways users write sizes

◆ Current state

fillpattern provides pattern fills — stripes, bricks, dots — for ggplot2 and base R graphics, aimed at figures that must stay legible in greyscale or to colour-blind readers. The 1.0.3 release is mostly defensive: size modifier strings ending in a colon no longer swap width for height, modify_size() reports invalid units instead of crashing and understands in, inches and cm, and a background colour bug in scale_fill_pattern() is fixed. The minimum R version rises to 4.2.0 for recent graphics engine features.

◆ Where it's heading

Development is slow and entirely reactive to how the string-based size interface fails. The pattern across releases is the same: a user hits an edge — very small fill areas in 1.0.2, malformed unit strings in 1.0.3 — and the fix is either a graceful fallback or a clearer error. Leaning on R's newer graphics engine rather than reimplementing pattern rendering keeps the package small at the cost of raising its version floor.

◆ Prediction

Expect further releases to stay in the same register: parsing and validation fixes for the size and unit interface, with the pattern set itself unlikely to change.

F
fitVARMxID
ANALYTICS
2.5

A VAR-model fitting package acquiring the standard R methods it launched without

◆ Current state

fitVARMxID fits vector autoregressive models via OpenMx identification, and is one of several packages maintained by the jeksterslab account. Its recent releases are small and additive: confint() and plot() methods, a save function, and before that a documentation pass. The feed also carries automated build commits that are pure CI artifacts.

◆ Where it's heading

This is a package settling into R conventions rather than growing capability. Adding confint() and plot() is the standard-methods work most modeling packages do once the estimation core is stable — it signals the author considers the fitting side done. Cadence is roughly quarterly and the changes get smaller each time.

◆ Prediction

Further method coverage — summary(), predict(), or coef() — is the likely next step, since confint() and plot() are usually the first two of that set rather than the last.

Alternatives to fillpattern and fitVARMxID

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 fillpattern or fitVARMxID.

See all fillpattern alternatives → · See all fitVARMxID alternatives →

Recent activity from fillpattern and fitVARMxID

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

  1. 15d agofitVARMxIDfitVARMxID 1.0.5
  2. 4mo agofitVARMxIDfitVARMxID 1.0.3
  3. 5mo agofitVARMxIDv1.0.2: Automated build [skip ci].
  4. 6mo agofillpatternSize string parsing fixed; invalid units now report instead of crash
  5. 2y agofillpatternSmall fill areas no longer crash; min_size falls back to solid
  6. 2y agofillpatternfillpattern 1.0.1

Frequently asked questions

What is the difference between fillpattern and fitVARMxID?

Both compete on the same themes — r-package — within Analytics. fitVARMxID 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 fillpattern better than fitVARMxID?

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

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

What are the best alternatives to fitVARMxID?

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