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Pattern fills for ggplot2, hardened against the ways users write sizes
Comparison · Analytics
susier vs vim
A side-by-side editorial comparison of susier and vim — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
susier vs vim: at a glance
What is susier?
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.
What is vim?
Six dormant years end with a correctness audit across VIM's entire imputation surface
VIM handles visualization and imputation of missing values in R, with kNN, hot-deck, iterative robust model-based imputation and matching-based methods. Development effectively stopped after 6.0.0 in 2020. Version 7.2.0 arrives in July 2026 as an explicitly framed correctness milestone: MI-properness warnings, ordered-factor preservation, a keep_all_columns option, list returns from irmi(mi>1), repairs to imputeRobust and imputeRobustChain, cellwise IRWLS and initial-weight fixes, and kNN and gowerD mixed-scaling corrections with a weightDist guard.
susier vs vim: editorial side-by-side
susier
0.0ANALYTICS
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
◆ Current state
susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.
◆ Where it's heading
The version-number churn understates how narrow this work is — four consecutive releases touching the same trimming and residual-variance machinery suggests one area where the implementation and the intended behavior had drifted apart. The 0.16.0 binding migration is the only structural change, and it is invisible to users while mattering for build portability and long-term maintenance. Development is clearly active, with automated release tooling and dependency bumps flowing through the same stream.
◆ Prediction
With the binding migration just landed, near-term releases are likely to address fallout from it alongside continued fixes in the same trimming and residual-variance code.
vim
0.0ANALYTICS
Six dormant years end with a correctness audit across VIM's entire imputation surface
◆ Current state
VIM handles visualization and imputation of missing values in R, with kNN, hot-deck, iterative robust model-based imputation and matching-based methods. Development effectively stopped after 6.0.0 in 2020. Version 7.2.0 arrives in July 2026 as an explicitly framed correctness milestone: MI-properness warnings, ordered-factor preservation, a keep_all_columns option, list returns from irmi(mi>1), repairs to imputeRobust and imputeRobustChain, cellwise IRWLS and initial-weight fixes, and kNN and gowerD mixed-scaling corrections with a weightDist guard.
◆ Where it's heading
The release notes describe an audit — Wave 1 plus tail — rather than a feature cycle, and the fixes cluster around statistical validity: whether multiple imputation is proper, whether factor ordering survives, whether distance scaling across mixed variable types is right. Those are the properties users cannot easily verify themselves, so a package correcting them after six years is implicitly restating what its earlier output was worth. The notes also name a forthcoming R Journal paper under the name vimpute, which points at a successor or companion identity.
◆ Prediction
The entries call this a stable reference point for a paper and refer to Wave 1, so a further audit wave is the most likely next release; the vimpute naming is worth watching but the entries do not say what it is.
Alternatives to susier and vim
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 susier or vim.
gcube
gcube's recent releases are all packaging metadata, not simulation code
cubist
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ggstats
ggstats keeps widening what a coefficient or Likert plot can be
ecodive
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
simStateSpace
State-space data simulation for R, filled in one function at a time
Recent activity from susier and vim
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agovimCorrectness audit fixes MI-properness, factor order and distance scaling
- 3mo agosusierMigrates C++ bindings from Rcpp to cpp11 and cpp11armadillo
- 3mo agosusierFixes alpha0/beta0 handling under Servin-Stephens
- 4mo agosusierCorrects the null space ELBO term for RSS with X
- 5mo agosusierFixes null effect trimming with non-uniform prior weights
- 5mo agosusierFixes null effect trimming under Servin-Stephens estimation
- 6y agovimAdds ranger-based imputation, drops survey and GUI support
- 6y agovimAdds nine example datasets and splits help pages
- 6y agovimAdds matchImpute() and random-forest augmented kNN
- 6y agovimOrdered factor support and ordinal regression in irmi()
- 6y agovimBug fixes for kNN, hotdeck and irmi input handling
Frequently asked questions
What is the difference between susier and vim?
Both compete on the same themes — r-package — within Analytics. susier and vim 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 susier better than vim?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. susier and vim 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 susier?
Top susier alternatives in Analytics are ranked by recent ship velocity. Browse the "susier alternatives" section above for the current picks, or visit /alternatives/susier for the full list with editorial commentary on each.
What are the best alternatives to vim?
Top vim alternatives in Analytics are ranked by recent ship velocity. Browse the "vim alternatives" section above for the current picks, or visit /alternatives/vim for the full list with editorial commentary on each.