trackeR
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
Comparison · Infra & APIs
coga vs mice
A side-by-side editorial comparison of coga and mice — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
coga vs mice: at a glance
What is coga?
A gamma-convolution density package that reached completion in 2018 and has coasted since.
coga computes densities, distribution functions and random numbers for convolutions of gamma distributions, with the numerical work in C++ through Rcpp. It has been feature-complete since 1.0.0 in 2018, and every release in the seven years since has been maintenance: a documentation alias for CRAN, a compiler warning, a maintainer email change, and an Rcpp update requiring Rf_error calls to be guarded. The one functional addition in that period, in 1.1.0, was an unexported function added explicitly for research use.
What is mice?
mice can finally predict, not just estimate, from multiply imputed data.
mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.
coga vs mice: editorial side-by-side
coga
0.0INFRA · APIS
A gamma-convolution density package that reached completion in 2018 and has coasted since.
◆ Current state
coga computes densities, distribution functions and random numbers for convolutions of gamma distributions, with the numerical work in C++ through Rcpp. It has been feature-complete since 1.0.0 in 2018, and every release in the seven years since has been maintenance: a documentation alias for CRAN, a compiler warning, a maintainer email change, and an Rcpp update requiring Rf_error calls to be guarded. The one functional addition in that period, in 1.1.0, was an unexported function added explicitly for research use.
◆ Where it's heading
This is a finished package being kept alive rather than developed. The releases track external pressure exactly: CRAN documentation requirements, compiler warnings, Rcpp API changes. Its maintenance is visibly shared with smam, the same maintainer's animal-movement package, which received the same email update, the same format-security fix and the same Rcpp guard within a minute or twenty of coga each time. Neither package is being extended; both are being kept installable.
◆ Prediction
Expect nothing but CRAN and toolchain maintenance, arriving whenever Rcpp or R's check requirements change, and arriving alongside smam. There is no signal in these entries of planned functional work.
mice
0.0INFRA · APIS
mice can finally predict, not just estimate, from multiply imputed data.
◆ Current state
mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.
◆ Where it's heading
Two things are happening. The imputation method catalogue keeps widening — lasso variants, multivariate PMM, categorical PMM via canonical correlation — while the pooling side is being extended past its original purpose, first to synthetic data, now to predictions on held-out sets. That second thread points at predictive modelling workflows rather than the inferential ones mice was built for. Meanwhile the maintainers keep finding consequential old bugs: the augment() ordered-factor defect in 3.18.0 had been silently degrading ordinal imputations for years.
◆ Prediction
predict_mi() is framed around evaluating predictive performance on test sets, and the ignore argument added in 3.12.0 already exists to hold out rows from the imputation model. Expect the next work to join those up into a fuller train/test story for imputed data, since the pieces are now in place but not yet connected.
Alternatives to coga and mice
Other Infra & APIs 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 coga or mice.
states
State-panel tooling holding steady since its 2020 data and ergonomics release.
multimark
Five years of compiler and CRAN fixes on a capture-recapture package.
metagroup
A first release that turns meta-analytic heterogeneity into interpretable subgroups.
vcmeta
A meta-analysis toolkit still renaming its own API as it adds effect sizes.
JointFPM
Recurrent-event modelling settles, with mean_no() promoted to stable.
Recent activity from coga and mice
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agocogaRcpp attributes regenerated; email updated
- 8mo agomicemice 3.19.0 ⚡
- 1y agomicemice 3.18.0
- 1y agomicemice 3.17.0
- 2y agocogaMaintainer email updated
- 2y agocogaCompiler format-security warning resolved
- 3y agocogaPackage documentation alias added for CRAN
- 3y agomicemice 3.16.0
- 3y agomicemice 3.15.0
- 4y agomicemice 3.14.0
- 6y agocogaUnexported density variant added for research use
- 8y agocoga1.0.0 declares the package complete and documented
Frequently asked questions
What is the difference between coga and mice?
Both compete on the same themes — r-package — within Infra & APIs. coga and mice 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 coga better than mice?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. coga and mice 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to coga?
Top coga alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "coga alternatives" section above for the current picks, or visit /alternatives/coga for the full list with editorial commentary on each.
What are the best alternatives to mice?
Top mice alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mice alternatives" section above for the current picks, or visit /alternatives/mice for the full list with editorial commentary on each.