mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of lares and mpactr — release velocity, themes, recent moves, and the top alternatives to consider.
One analyst's toolbox, still shipping: Meta MMM tooling beside Wordle solvers
lares is Bernardo Lares' personal R sidekick and has never pretended otherwise — the same release adds a marketing-mix diagnostic and a function to keep your screen awake. The serious core is the Robyn/Meta arm: model selection, per-channel performance decomposition, cross-channel budget allocation. Around it sit h2o AutoML wrappers, credential and cache helpers, MP3 tagging, and a family of games.
mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.
mpactr filters mass-spectrometry peak tables — removing contaminants, ion duplicates and low-reproducibility features before downstream metabolomics analysis — with a data.table and Rcpp core. Development is slow and the recent releases are small. The May pair both address the same friction: column names and imported table names arriving in inconsistent case and failing to match.
lares is Bernardo Lares' personal R sidekick and has never pretended otherwise — the same release adds a marketing-mix diagnostic and a function to keep your screen awake. The serious core is the Robyn/Meta arm: model selection, per-channel performance decomposition, cross-channel budget allocation. Around it sit h2o AutoML wrappers, credential and cache helpers, MP3 tagging, and a family of games.
Over two years the Robyn tooling matured first — robyn_performance() and robyn_modelselector() were rebuilt release after release through 2024 — and recent work has drifted outward into media and API plumbing: encrypted file helpers in 5.3.2, then an iTunes-first metadata path, MP3 tag writing, and a move of holidays() onto the Nager.Date API in 5.4.0. Cadence is roughly quarterly and the package has been quiet for three months.
The pattern in nearly every release is that a third-party API moves and lares follows it — Meta's version bumps, Robyn 3.12.0, now Nager.Date. Expect the next release to be another compatibility pass plus whatever utility the author needed that week; nothing in these entries points at a structural change.
mpactr filters mass-spectrometry peak tables — removing contaminants, ion duplicates and low-reproducibility features before downstream metabolomics analysis — with a data.table and Rcpp core. Development is slow and the recent releases are small. The May pair both address the same friction: column names and imported table names arriving in inconsistent case and failing to match.
The package is stabilizing its input contract rather than growing its filtering methods. Metadata column names are now forced lowercase inside import_data() regardless of how the file was written, imported peak_tables names not present in the injection column are lowercased too, and get_meta_data() was renamed to get_metadata() in the same pass. Before that the work was infrastructural — Rcpp introduced to speed up filtering, data.table moved from Depends to Imports, and memory errors cleared so the package passes Valgrind and both sanitizers. Note the earliest entry compares against a v1.0.0 tag that precedes 0.1.0 in the repository, so version ordering in this feed is not reliable.
The case-normalization work has now touched both metadata columns and peak table names across two consecutive releases, which suggests the input-matching problem is not fully closed and a third pass is plausible. Nothing in these entries points to new filtering methods.
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 lares or mpactr.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all lares alternatives → · See all mpactr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. lares and mpactr 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. lares and mpactr 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 lares alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "lares alternatives" section above for the current picks, or visit /alternatives/lares for the full list with editorial commentary on each.
Top mpactr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mpactr alternatives" section above for the current picks, or visit /alternatives/mpactr for the full list with editorial commentary on each.