tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
A side-by-side editorial comparison of enpls and etn — release velocity, themes, recent moves, and the top alternatives to consider.
enpls has not changed its statistics since 2016 — only its website, twice.
enpls implements ensemble partial least squares regression, with variants for feature selection, outlier detection and model applicability. Across the six most recent releases there is not one change to the modeling code. They cover a documentation website, a website URL change, a font stack, code indentation, a CI service, and most recently a GitHub Actions migration with an R CMD check note fix.
etn stopped being an RStudio-server package and became something you can run anywhere.
etn is the R client for the European Tracking Network's acoustic telemetry database, maintained at INBO. The 3.0.0 release routes queries through an API served by the companion etnservice package, so the package no longer requires a session on the ETN RStudio server. Credentials moved out of a connection object and into .Renviron, and the data model was rescoped in 2.0.0 around tag_serial_number so acoustic work is one scope among several rather than the whole package.
enpls implements ensemble partial least squares regression, with variants for feature selection, outlier detection and model applicability. Across the six most recent releases there is not one change to the modeling code. They cover a documentation website, a website URL change, a font stack, code indentation, a CI service, and most recently a GitHub Actions migration with an R CMD check note fix.
The statistical work finished around version 5.6, which added cross-validation fold control and fixed component selection when the maximum was left unspecified. Everything since has kept the package installable and its docs online. The 2025 release arriving the same day as sibling package grex, with the same two fixes, confirms the pattern: these are maintainer sweeps across a portfolio, not attention to enpls specifically.
The next release will almost certainly be another CRAN or tooling fix. Six consecutive infrastructure-only releases across nine years give no basis for expecting new methods.
etn is the R client for the European Tracking Network's acoustic telemetry database, maintained at INBO. The 3.0.0 release routes queries through an API served by the companion etnservice package, so the package no longer requires a session on the ETN RStudio server. Credentials moved out of a connection object and into .Renviron, and the data model was rescoped in 2.0.0 around tag_serial_number so acoustic work is one scope among several rather than the whole package.
Two arcs run in parallel: widening access, and making room for non-acoustic data. The access work has been deliberate — an API-backed beta in 2024, then a stable release that picks the transport automatically and checks that a local etnservice install matches the deployed one, because the same query returning different results by transport would be worse than requiring the server. The Darwin Core export added in 2.1.0 points the same outward direction, moving data to OBIS and GBIF instead of keeping it in the ETN silo.
The cpod scope named in the 2.0.0 notes is the most likely next addition, now that the naming and the API transport are both in place to carry it.
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 enpls or etn.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
A single-purpose ggplot2 inset tool, refining the same three arguments.
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools stopped guarding its own object model and started accepting everyone else's.
The glue package that makes R carry units and uncertainty through the same calculation.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. enpls and etn 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. enpls and etn 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.
Top enpls alternatives in Analytics are ranked by recent ship velocity. Browse the "enpls alternatives" section above for the current picks, or visit /alternatives/enpls for the full list with editorial commentary on each.
Top etn alternatives in Analytics are ranked by recent ship velocity. Browse the "etn alternatives" section above for the current picks, or visit /alternatives/etn-r for the full list with editorial commentary on each.