tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of DoseFinding and refsplitr — release velocity, themes, recent moves, and the top alternatives to consider.
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
DoseFinding implements MCP-Mod and related dose-response methodology for clinical trial design and analysis. In 2024 it changed hands — Marius Thomas took over as maintainer, Novartis was recorded as copyright holder and funder, and the package moved to the openpharma GitHub organisation with roxygen documentation and a proper NEWS file. The two releases since have added substantive methodology: model averaging for dose-response fitting in 1.3-1, and conditional and predictive power for interim analyses in 1.4-1.
Author disambiguation for bibliometrics, still grinding on the hard part: which names are the same person.
refsplitr parses Web of Science reference records into tidy data and tries to resolve which author strings belong to the same researcher, then georeferences their institutional addresses for network and map visualizations. The active work is squarely on the disambiguation core: 1.2.3 continues refining the author grouping algorithm and 1.2.1 adjusted ORCID ID matching. Earlier, 1.2.0 replaced the address parsing algorithm and changed the default georeferencing option for author institutions.
DoseFinding implements MCP-Mod and related dose-response methodology for clinical trial design and analysis. In 2024 it changed hands — Marius Thomas took over as maintainer, Novartis was recorded as copyright holder and funder, and the package moved to the openpharma GitHub organisation with roxygen documentation and a proper NEWS file. The two releases since have added substantive methodology: model averaging for dose-response fitting in 1.3-1, and conditional and predictive power for interim analyses in 1.4-1.
The pattern before the handover was maintenance — R-devel compliance, a bug fix, a link. After it, each release carries a named methodological addition with an acknowledged contributor, plus documentation to match: a longitudinal analysis vignette shipped alongside the interim power work. Housekeeping continues underneath, mostly clearing deprecated ggplot2 interfaces, aes_string in one release and qplot in the next.
Given the last two releases each added one method with a supporting vignette, expect the next to follow the same shape. Both additions so far extend the package beyond fixed dose-response fitting, so adaptive and interim methodology is the more likely direction.
refsplitr parses Web of Science reference records into tidy data and tries to resolve which author strings belong to the same researcher, then georeferences their institutional addresses for network and map visualizations. The active work is squarely on the disambiguation core: 1.2.3 continues refining the author grouping algorithm and 1.2.1 adjusted ORCID ID matching. Earlier, 1.2.0 replaced the address parsing algorithm and changed the default georeferencing option for author institutions.
Development has narrowed to the two operations that determine whether the output is usable — grouping author name variants and resolving addresses to coordinates. Everything else has been shedding: the maptools dependency was removed once that package was deprecated, and visualization changes are mostly about surfacing records the pipeline could not resolve, as with plot_net_country() returning fixable_countries so users can correct and rerun. Release notes are terse and defer to NEWS, so the changelog itself carries little detail.
Expect further incremental passes on author grouping and ORCID matching rather than new outputs; that algorithm is the package's accuracy ceiling and the last several releases have all touched 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 DoseFinding or refsplitr.
A tables-listings-graphs package that reached CRAN and then went quiet.
Tplyr made clinical summary tables explain where every number came from.
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all DoseFinding alternatives → · See all refsplitr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. refsplitr is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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. refsplitr is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top DoseFinding alternatives in Analytics are ranked by recent ship velocity. Browse the "DoseFinding alternatives" section above for the current picks, or visit /alternatives/dosefinding for the full list with editorial commentary on each.
Top refsplitr alternatives in Analytics are ranked by recent ship velocity. Browse the "refsplitr alternatives" section above for the current picks, or visit /alternatives/refsplitr for the full list with editorial commentary on each.