metagroup
A first release that turns meta-analytic heterogeneity into interpretable subgroups.
A side-by-side editorial comparison of BAS and coga — release velocity, themes, recent moves, and the top alternatives to consider.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
BAS performs Bayesian variable selection and model averaging for linear and generalized linear models, sampling from a model space too large to enumerate. The visible history splits cleanly: 2023-2024 added sampling machinery — an adaptive independent MCMC sampler with Horvitz-Thompson estimation, hereditary-constraint counting — while 2.0.0 in late 2025 reworked how sampler output is allocated in C. The 2.0.2 patch is a PROTECT fix for rchk warnings.
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.
BAS performs Bayesian variable selection and model averaging for linear and generalized linear models, sampling from a model space too large to enumerate. The visible history splits cleanly: 2023-2024 added sampling machinery — an adaptive independent MCMC sampler with Horvitz-Thompson estimation, hereditary-constraint counting — while 2.0.0 in late 2025 reworked how sampler output is allocated in C. The 2.0.2 patch is a PROTECT fix for rchk warnings.
Memory is the binding constraint and the releases say so directly. The hereditary-constraint counter, the GROW option, and the replacement of over-allocation with resizing all attack the same problem: n.models is a guess, and guessing high wastes memory on problems where few unique models are actually visited. The 2.0.0 work was additionally forced by R tightening its C API against non-API calls like SETLENGTH, a constraint every C-heavy CRAN package has been absorbing. Method development has been quiet since 1.7.x.
The 1.7.5 notes call the hereditary-constraint counting a first step and say future updates will cover other constraint types, including polynomials, which remain unhandled. That is the one concrete commitment in this history, though nothing since has returned to it.
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.
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.
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.
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 BAS or coga.
A first release that turns meta-analytic heterogeneity into interpretable subgroups.
A meta-analysis toolkit still renaming its own API as it adds effect sizes.
Recurrent-event modelling settles, with mean_no() promoted to stable.
Nonparametric change point detection swaps p-values for importance scores.
A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.
Wavelet trend estimation tightens the defaults it shipped with.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. BAS and coga 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. BAS and coga 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.
Top BAS alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "BAS alternatives" section above for the current picks, or visit /alternatives/bas for the full list with editorial commentary on each.
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.