jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
A side-by-side editorial comparison of selection.index and standardlastprofile — release velocity, themes, recent moves, and the top alternatives to consider.
A dormant plant-breeding package returns as a genomic selection index suite
selection.index computes selection indices for plant breeding — weighting several traits into one number breeders can rank on. After two years of silence it shipped 2.0.0 in March 2026, and the package is barely recognisable: snake_case throughout, an Rcpp and RcppEigen computational core, and index families for genomic data, marker data, multi-stage trials and constrained genetic gain sitting beside the original phenotypic ones.
A German electricity load-profile package added gas and doubled the market it serves.
standardlastprofile implements the BDEW standard load profiles that German utilities use to assign consumption to customers without interval metering. Until June it did electricity only. Version 2.0.0 added the gas side — the SigLinDe synthetic procedure across all 15 BDEW gas profile IDs — and gave electricity a new primary interface, slp_electricity(), with slp_generate() superseded but retained.
selection.index computes selection indices for plant breeding — weighting several traits into one number breeders can rank on. After two years of silence it shipped 2.0.0 in March 2026, and the package is barely recognisable: snake_case throughout, an Rcpp and RcppEigen computational core, and index families for genomic data, marker data, multi-stage trials and constrained genetic gain sitting beside the original phenotypic ones.
The first version series added one function at a time — combinatorial indices, then genetic advance, then mean performance under randomised block designs — against a fixed phenotypic framing. Version 2.0.0 abandons that framing rather than extending it. Genomic and marker information become inputs the package understands, multi-cycle simulation becomes a built-in toolset, and the old combinatorial entry points are replaced by a named lpsi(). The 2.0.1 follow-up is entirely CI and numerical-stability work, which reads like a maintainer bracing a much larger surface.
A seventeen-runner CI matrix mirroring every CRAN check flavour, added days after 2.0.0, says the immediate concern is keeping a compiled multi-family package green rather than adding to it. Expect stabilisation releases before anything new.
standardlastprofile implements the BDEW standard load profiles that German utilities use to assign consumption to customers without interval metering. Until June it did electricity only. Version 2.0.0 added the gas side — the SigLinDe synthetic procedure across all 15 BDEW gas profile IDs — and gave electricity a new primary interface, slp_electricity(), with slp_generate() superseded but retained.
The package is converting from a dataset wrapper into a calculation library. Electricity profiles are tabulated values the package ships; gas profiles are computed from daily temperatures and a customer value through a coefficient-driven function, and the maintainer exposed the whole ladder — slp_gas() for the profile, slp_gas_kundenwert() to derive the customer value from a reference year, slp_gas_siglinde() for the raw h(theta) demand function so users can supply state-level coefficients, and coefficient and weekday-factor accessors underneath. The same instinct removed the built-in holiday table in favour of computing Easter directly, which lifted the date range cap from 2073 to open-ended. Deprecations are handled carefully throughout: renames keep working with lifecycle warnings, and the one hard break was already a warning since 1.1.0.
slp_gas_siglinde() was exported specifically so users could plug in region-specific coefficients such as Baden-Wurttemberg's, which points at state-level coefficient sets as the next thing to ship rather than leave to callers. The BDEW reference edition is now pinned to an Internet Archive permalink after the last one 404'd, so tracking edition changes is an ongoing maintenance cost.
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 selection.index or standardlastprofile.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
State-panel tooling holding steady since its 2020 data and ergonomics release.
Five years of compiler and CRAN fixes on a capture-recapture package.
See all selection.index alternatives → · See all standardlastprofile alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. selection.index and standardlastprofile 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. selection.index and standardlastprofile 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 selection.index alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "selection.index alternatives" section above for the current picks, or visit /alternatives/selection-index for the full list with editorial commentary on each.
Top standardlastprofile alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "standardlastprofile alternatives" section above for the current picks, or visit /alternatives/standardlastprofile for the full list with editorial commentary on each.