tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of DoseFinding and S7 — 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.
S7 has stopped adding surface and started proving it holds up against R itself.
S7 is R's third-generation object system, built to unify the S3 and S4 lineages rather than add a fourth. The design work landed in 0.2.0, which reworked the default constructor, extended base-class coverage, and added a backward-compatibility shim so `@` property access works on R older than 4.3. Everything since has been maintenance: property setters gained a `check` escape hatch, and two consecutive releases exist mainly to keep the package compiling against R-devel 4.6.
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.
S7 is R's third-generation object system, built to unify the S3 and S4 lineages rather than add a fourth. The design work landed in 0.2.0, which reworked the default constructor, extended base-class coverage, and added a backward-compatibility shim so `@` property access works on R older than 4.3. Everything since has been maintenance: property setters gained a `check` escape hatch, and two consecutive releases exist mainly to keep the package compiling against R-devel 4.6.
The changelog is thinning by design — 0.1.0 was a months-long feature dump, 0.2.0 a coordinated architectural revision, 0.2.2 a single line about internal R-devel support. That shape usually means an API the maintainers consider settled, where the remaining work is tracking the host language rather than extending the system. The one recurring theme is validation cost: repeated releases have made validation less frequent, more targeted, or skippable outright.
Expect continued small releases pinned to R-devel changes rather than new class-system features, with any further movement most likely in the validation and property-setter path that the last two feature changes both touched.
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 S7.
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 S7 alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. DoseFinding and S7 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. DoseFinding and S7 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 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 S7 alternatives in Analytics are ranked by recent ship velocity. Browse the "S7 alternatives" section above for the current picks, or visit /alternatives/s7 for the full list with editorial commentary on each.