tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
DoseFinding vs simulist
A side-by-side editorial comparison of DoseFinding and simulist — release velocity, themes, recent moves, and the top alternatives to consider.
DoseFinding vs simulist: at a glance
What is DoseFinding?
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.
What is simulist?
simulist stopped simulating clean outbreaks and started simulating the mess real surveillance data arrives in.
simulist generates synthetic line list and contact-tracing data for outbreak analytics as part of the Epiverse-TRACE stack. It reached stable status in 0.6.0 and was published in JOSS alongside 0.7.0 in February 2026. Its distinguishing feature is no longer the epidemic simulation itself but the post-processing layer that degrades the output into realistic data.
DoseFinding vs simulist: editorial side-by-side
DoseFinding
0.0ANALYTICS
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
simulist
0.0ANALYTICS
simulist stopped simulating clean outbreaks and started simulating the mess real surveillance data arrives in.
◆ Current state
simulist generates synthetic line list and contact-tracing data for outbreak analytics as part of the Epiverse-TRACE stack. It reached stable status in 0.6.0 and was published in JOSS alongside 0.7.0 in February 2026. Its distinguishing feature is no longer the epidemic simulation itself but the post-processing layer that degrades the output into realistic data.
◆ Where it's heading
The scope moved outward in two steps. 0.5.0 added truncate_linelist() and messy_linelist() to produce right-truncated snapshots and data with missingness and inconsistencies; 0.6.0 added censor_linelist() for grouping dates into intervals with a weekend-reporting effect. The simulation core has meanwhile settled — 0.7.0's changes are interface polish: weighted sex sampling and <epiparameter> objects accepted for reporting_delay.
◆ Prediction
Post-processing is where the recent work is, so further realism controls — additional reporting artefacts or interval schemes — are a likelier next step than new epidemic model structures.
Alternatives to DoseFinding and simulist
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 simulist.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all DoseFinding alternatives → · See all simulist alternatives →
Recent activity from DoseFinding and simulist
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agosimulistJOSS paper corrections
- 6mo agosimulistWeighted sex sampling and epiparameter objects for reporting delays
- 11mo agosimulistcensor_linelist() adds interval censoring and a weekend effect
- 1y agoDoseFindingConditional and predictive power for interim analyses
- 1y agosimulistPost-processing arrives: truncated snapshots and deliberately messy line lists ⚡
- 1y agoDoseFindingModel averaging arrives for dose-response fitting ⚡
- 1y agosimulistEvery sim_*() argument gains a default
- 1y agoDoseFindingPackage moves to openpharma under new maintainership
- 2y agosimulistInfectious period replaces contact interval; time-varying fatality risk added
- 2y agoDoseFindingCompliance update for R-devel
- 3y agoDoseFindingpowMCTBinCount bug fix
Frequently asked questions
What is the difference between DoseFinding and simulist?
They serve adjacent needs but don't currently overlap on shipped themes. DoseFinding and simulist 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 DoseFinding better than simulist?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. DoseFinding and simulist 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 DoseFinding?
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.
What are the best alternatives to simulist?
Top simulist alternatives in Analytics are ranked by recent ship velocity. Browse the "simulist alternatives" section above for the current picks, or visit /alternatives/simulist for the full list with editorial commentary on each.