excluder
A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
Comparison · Analytics
DoseFinding vs naijR
A side-by-side editorial comparison of DoseFinding and naijR — release velocity, themes, recent moves, and the top alternatives to consider.
DoseFinding vs naijR: 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 naijR?
naijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.
naijR packages Nigeria-specific data and utilities for R: state and Local Government Area names, choropleth mapping, and phone-number repair. The newest release adds `ngdist`, a UNDP-sourced distance matrix covering road distances between all 37 state capitals, with `ng_distance()` for pairwise lookup in kilometres or miles. The spatial foundation was rebased on sf in 0.6.0, retiring the rgdal-era code.
DoseFinding vs naijR: 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.
naijR
0.0ANALYTICS
naijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.
◆ Current state
naijR packages Nigeria-specific data and utilities for R: state and Local Government Area names, choropleth mapping, and phone-number repair. The newest release adds `ngdist`, a UNDP-sourced distance matrix covering road distances between all 37 state capitals, with `ng_distance()` for pairwise lookup in kilometres or miles. The spatial foundation was rebased on sf in 0.6.0, retiring the rgdal-era code.
◆ Where it's heading
The package keeps converting local knowledge into checked data structures. LGA names shared between states got `disambiguate_lga()` with interactive selection; misspellings in the original reference document were corrected; mobile numbers with inconsistent separators, or with the letter O typed for zero, get repaired rather than rejected. Each addition targets a specific way Nigerian administrative or contact data breaks generic tooling, which is a narrower and more durable brief than most country packages take on.
◆ Prediction
With a distance matrix now in place alongside the boundary and naming data, the plausible next step is more derived geography of the same kind rather than new utility functions, though the entries do not say which dataset is next.
Alternatives to DoseFinding and naijR
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 naijR.
geotargets
Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.
forcis
A foraminifera data-access package whose entire release history is the rOpenSci review process.
daiquiri
A data-quality report generator that finished its API rewrite and has been coasting on small features since.
r2rtf
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
webmockr
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
See all DoseFinding alternatives → · See all naijR alternatives →
Recent activity from DoseFinding and naijR
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agonaijRRoad distances between all 37 state capitals
- 5mo agonaijRDevelopment snapshot of the distance-matrix work
- 1y agoDoseFindingConditional and predictive power for interim analyses
- 1y agoDoseFindingModel averaging arrives for dose-response fitting ⚡
- 1y agoDoseFindingPackage moves to openpharma under new maintainership
- 2y agoDoseFindingCompliance update for R-devel
- 2y agonaijRMore examples and tighter internal data compression
- 3y agonaijRsf replaces rgdal; LGA name collisions get a resolver
- 3y agonaijRWarning silenced ahead of the spatial stack migration
- 3y agoDoseFindingpowMCTBinCount bug fix
- 3y agonaijRPackage objects gain base R semantics; phone repair widened
Frequently asked questions
What is the difference between DoseFinding and naijR?
They serve adjacent needs but don't currently overlap on shipped themes. DoseFinding and naijR 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 naijR?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. DoseFinding and naijR 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 naijR?
Top naijR alternatives in Analytics are ranked by recent ship velocity. Browse the "naijR alternatives" section above for the current picks, or visit /alternatives/naijr for the full list with editorial commentary on each.