HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
Comparison · Infra & APIs
BayesianMCPMod vs ipaddress
A side-by-side editorial comparison of BayesianMCPMod and ipaddress — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
BayesianMCPMod vs ipaddress: 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 ipaddress?
IP address vectors for R that hit 1.0 and then went quiet.
ipaddress gives R first-class IPv4 and IPv6 vector types with the arithmetic, netmask and subnet operations that come with them, backed by C++. The 1.0.0 release in 2023 was the deliberate breaking cleanup: one result per input from the hostname functions, vectorised subnets(), several arguments forced to be named, and a country_networks() downloader added. Since then the only release has been a testthat deprecation fix.
BayesianMCPMod vs ipaddress: 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.
ipaddress
0.0INFRA · APIS
IP address vectors for R that hit 1.0 and then went quiet.
◆ Current state
ipaddress gives R first-class IPv4 and IPv6 vector types with the arithmetic, netmask and subnet operations that come with them, backed by C++. The 1.0.0 release in 2023 was the deliberate breaking cleanup: one result per input from the hostname functions, vectorised subnets(), several arguments forced to be named, and a country_networks() downloader added. Since then the only release has been a testthat deprecation fix.
◆ Where it's heading
The package reached the interface it wanted and stopped. The five releases before 1.0.0 were almost entirely CRAN check compliance — deprecated C++ calls, HTML5 notes, a Windows toolchain change — with functional work confined to a couple of releases that shed heavy dependencies. That pattern, long compliance runs punctuated by rare interface work, is what the feed shows now.
◆ Prediction
On this cadence the next release is most likely another CRAN or upstream-testing compliance patch; nothing in the entries indicates new functionality in progress.
Alternatives to BayesianMCPMod and ipaddress
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 ipaddress.
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.
ltertools
A column-key toolkit for stitching decades of ecological field data into one table.
finnts
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all BayesianMCPMod alternatives → · See all ipaddress alternatives →
Recent activity from BayesianMCPMod and ipaddress
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 agoBayesianMCPModCovariance matrices replace standard deviation vectors in the MCP step
- 0y agoipaddresstestthat deprecation warnings resolved
- 1y agoBayesianMCPModMinimally efficacious dose estimation and parallel execution
- 1y agoBayesianMCPModNon-monotonic beta and quadratic dose-response shapes
- 3y agoipaddress1.0.0 breaks the interface to make it vector-native ⚡
- 3y agoipaddressDeprecated C++ sprintf calls replaced
- 4y agoipaddressroxygen upgrade to clear HTML5 check notes
- 4y agoipaddressWindows compiler toolchain compatibility for R 4.2
- 5y agoipaddressHotfix for CRAN check warnings
Frequently asked questions
What is the difference between BayesianMCPMod and ipaddress?
Both compete on the same themes — r-package — within Infra & APIs. BayesianMCPMod and ipaddress 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 ipaddress?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. BayesianMCPMod and ipaddress 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 ipaddress?
Top ipaddress alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ipaddress alternatives" section above for the current picks, or visit /alternatives/ipaddress for the full list with editorial commentary on each.