HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
Comparison · Infra & APIs
BayesianMCPMod vs ltertools
A side-by-side editorial comparison of BayesianMCPMod and ltertools — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
BayesianMCPMod vs ltertools: at a glance
What is BayesianMCPMod?
A Bayesian dose-finding package extends from continuous endpoints to binary ones
BayesianMCPMod implements the Bayesian form of MCP-Mod for dose-finding trials, combining a multiple-comparison test for dose-response signal with model fitting for dose selection. Version 1.3.0 added functions and vignettes for the binary endpoint case, opening the package beyond the continuous endpoints it was built around, and 1.3.2 followed with Firth's penalized regression to handle separation in those binary fits. The same 1.3.0 release let assessDesign() accept custom simulated data and custom model estimates, which moves simulation control out of the package and into the user's hands.
What is ltertools?
A column-key toolkit for stitching decades of ecological field data into one table.
ltertools serves the Long Term Ecological Research network, where the same measurement carries a different column name at every site and in every era. Its core is a column key: begin_key drafts one, harmonize applies it, and the 2.0.0 release added check_key to validate a key and standardize to apply one to a single dataset. Harmonization of files above 5 MB now runs in roughly half the time.
BayesianMCPMod vs ltertools: editorial side-by-side
BayesianMCPMod
0.0INFRA · APIS
A Bayesian dose-finding package extends from continuous endpoints to binary ones
◆ Current state
BayesianMCPMod implements the Bayesian form of MCP-Mod for dose-finding trials, combining a multiple-comparison test for dose-response signal with model fitting for dose selection. Version 1.3.0 added functions and vignettes for the binary endpoint case, opening the package beyond the continuous endpoints it was built around, and 1.3.2 followed with Firth's penalized regression to handle separation in those binary fits. The same 1.3.0 release let assessDesign() accept custom simulated data and custom model estimates, which moves simulation control out of the package and into the user's hands.
◆ Where it's heading
Each release has widened the estimands and data shapes the framework accepts rather than changing its statistical core. 1.0.2 added non-monotonic beta and quadratic model shapes; 1.1.0 introduced getMED() for the minimally efficacious dose and parallel execution through the future framework; 1.2.0 switched the posterior and contrast functions from a standard deviation vector to a full covariance matrix and supported non-zero off-diagonals in the MCP step. The binary endpoint work is the same pattern applied to the outcome type, and the Firth addition shows the follow-through of a maintainer who has hit the separation problem in practice.
◆ Prediction
Expect the binary endpoint arm to keep filling in - more diagnostics and design assessment coverage matching what the continuous case already has - since 1.3.2 addressed a specific estimation failure rather than adding a new capability.
ltertools
0.0INFRA · APIS
A column-key toolkit for stitching decades of ecological field data into one table.
◆ Current state
ltertools serves the Long Term Ecological Research network, where the same measurement carries a different column name at every site and in every era. Its core is a column key: begin_key drafts one, harmonize applies it, and the 2.0.0 release added check_key to validate a key and standardize to apply one to a single dataset. Harmonization of files above 5 MB now runs in roughly half the time.
◆ Where it's heading
Development has moved from breadth to depth. The first year added assorted utilities — temperature conversion, solar day length, a site timeline — while the last two releases have concentrated on the key workflow itself: incremental key expansion, validation, per-dataset application, and speed. A dependency archival forced the removal of the JSON helper, trimming the package back toward that core.
◆ Prediction
The key workflow now has draft, expand, check and apply steps, so the remaining gap is diagnostics on the harmonized output; the entries show no other thread in progress.
Alternatives to BayesianMCPMod and ltertools
Other Infra & APIs 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 BayesianMCPMod or ltertools.
bsvarSIGNs
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
estimatr
Fast design-based estimators for experiments, coasting on CRAN patches.
ggdist
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ipaddress
IP address vectors for R that hit 1.0 and then went quiet.
finnts
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all BayesianMCPMod alternatives → · See all ltertools alternatives →
Recent activity from BayesianMCPMod and ltertools
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agoBayesianMCPModFirth penalized regression handles separation in binary endpoints
- 5mo agoBayesianMCPModRegression fix for missing future.apply, plus credible band options
- 5mo agoBayesianMCPModBinary endpoint support opens the framework past continuous outcomes ⚡
- 11mo agoltertoolsWarning wording and a ggplot2 4.0.0 test update
- 11mo agoBayesianMCPModCovariance matrices replace standard deviation vectors in the MCP step
- 1y agoltertoolsKey validation and single-dataset standardizing; JSON helper dropped
- 1y agoBayesianMCPModMinimally efficacious dose estimation and parallel execution
- 1y agoltertoolsIncremental key expansion for newly added files
- 1y agoBayesianMCPModNon-monotonic beta and quadratic dose-response shapes
- 1y agoltertoolsSolar day calculations, JSON export, defensive checks in harmonize
- 2y agoltertoolsFirst CRAN release: the column-key harmonization workflow
Frequently asked questions
What is the difference between BayesianMCPMod and ltertools?
Both compete on the same themes — r-package — within Infra & APIs. BayesianMCPMod and ltertools 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 BayesianMCPMod better than ltertools?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. BayesianMCPMod and ltertools 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to BayesianMCPMod?
Top BayesianMCPMod alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "BayesianMCPMod alternatives" section above for the current picks, or visit /alternatives/bayesianmcpmod for the full list with editorial commentary on each.
What are the best alternatives to ltertools?
Top ltertools alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ltertools alternatives" section above for the current picks, or visit /alternatives/ltertools for the full list with editorial commentary on each.