tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
Comparison · Analytics
enpls vs errors
A side-by-side editorial comparison of enpls and errors — release velocity, themes, recent moves, and the top alternatives to consider.
enpls vs errors: at a glance
What is enpls?
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.
What is errors?
errors keeps making uncertainty print the way each scientific field expects.
errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.
enpls vs errors: editorial side-by-side
enpls
0.0ANALYTICS
enpls has not changed its statistics since 2016 — only its website, twice.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
errors
0.0ANALYTICS
errors keeps making uncertainty print the way each scientific field expects.
◆ Current state
errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.
◆ Where it's heading
Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.
◆ Prediction
Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.
Alternatives to enpls and errors
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 errors.
tern.mmrm
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
ggmagnify
A single-purpose ggplot2 inset tool, refining the same three arguments.
symengine
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools
gtfstools stopped guarding its own object model and started accepting everyone else's.
quantities
The glue package that makes R carry units and uncertainty through the same calculation.
See all enpls alternatives → · See all errors alternatives →
Recent activity from enpls and errors
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoenplsenpls 6.1.1 moves pkgdown to GitHub Actions
- 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
- 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
- 2y agoerrorserrors 0.4.2 adds PDG rounding rules
- 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
- 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
- 5y agoerrorserrors 0.3.6
- 7y agoenplsenpls 6.1 adopts tidyverse code style
- 8y agoenplsenpls 6.0 changes the documentation URL
- 8y agoenplsenpls 5.9 drops Google Fonts from vignettes
- 9y agoenplsenpls 5.8 updates gallery images, enables HTTPS
- 9y agoenplsenpls 5.7 adds a pkgdown site and Windows CI
Frequently asked questions
What is the difference between enpls and errors?
They serve adjacent needs but don't currently overlap on shipped themes. enpls and errors 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 enpls better than errors?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. enpls and errors 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.
What are the best alternatives to enpls?
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.
What are the best alternatives to errors?
Top errors alternatives in Analytics are ranked by recent ship velocity. Browse the "errors alternatives" section above for the current picks, or visit /alternatives/errors-r for the full list with editorial commentary on each.