rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
Comparison · Analytics
n2kanalysis vs socialmixr
A side-by-side editorial comparison of n2kanalysis and socialmixr — release velocity, themes, recent moves, and the top alternatives to consider.
n2kanalysis vs socialmixr: at a glance
What is n2kanalysis?
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
n2kanalysis is the analysis framework behind INBO's nature monitoring networks, wrapping INLA model fitting with a manifest-driven pipeline whose intermediate objects live in S3. Capability has arrived in discrete lumps: hurdle models with imputation and a manifest-to-bash converter in 0.3.1, SPDE spatial elements in INLA models in 0.4.0, and in 0.4.1 a connect_inbo_s3() function that makes temporary credentials available to the R functions.
What is socialmixr?
socialmixr breaks its one-shot contact_matrix() call into a composable pipeline.
socialmixr builds age-structured social contact matrices from survey data for infectious-disease modelling. Version 0.6.0 replaces the monolithic contact_matrix() entry point with a chain of composable steps — filter, assign age groups, weigh, compute, then symmetrise, split or convert per capita — behind a new contact_matrix S3 class. Survey downloading is being handed off to a separate contactsurveys package.
n2kanalysis vs socialmixr: editorial side-by-side
n2kanalysis
0.0ANALYTICS
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
◆ Current state
n2kanalysis is the analysis framework behind INBO's nature monitoring networks, wrapping INLA model fitting with a manifest-driven pipeline whose intermediate objects live in S3. Capability has arrived in discrete lumps: hurdle models with imputation and a manifest-to-bash converter in 0.3.1, SPDE spatial elements in INLA models in 0.4.0, and in 0.4.1 a connect_inbo_s3() function that makes temporary credentials available to the R functions.
◆ Where it's heading
Development is slow, institutional, and driven by the modeling needs of specific monitoring programmes rather than a product roadmap. The pattern across the window is a new model class when the ecology requires one, then a stretch of infrastructure work around storage, credentials and pipeline efficiency. The 0.4.1 release is characteristic — a credentials helper, better result retrieval, more tests and a code-style pass, with no modeling change at all. Much of the early history is recorded only as merge-commit titles, so the release record thins out the further back it goes.
◆ Prediction
Expect the next substantive release to add another INLA model variant as a monitoring programme needs it, with S3 and credential handling continuing to absorb the maintenance effort in between.
socialmixr
0.0ANALYTICS
socialmixr breaks its one-shot contact_matrix() call into a composable pipeline.
◆ Current state
socialmixr builds age-structured social contact matrices from survey data for infectious-disease modelling. Version 0.6.0 replaces the monolithic contact_matrix() entry point with a chain of composable steps — filter, assign age groups, weigh, compute, then symmetrise, split or convert per capita — behind a new contact_matrix S3 class. Survey downloading is being handed off to a separate contactsurveys package.
◆ Where it's heading
The arc from 0.4.0 to 0.6.0 is decomposition: first extracting helpers like assign_age_groups(), then moving downloads out of the package, and now exposing every stage of matrix construction as its own verb. Breaking changes are accepted at each step — preserved empty age groups, arrays instead of xtabs, [N,Inf) labels — with the new class inheriting from list so existing $matrix access keeps working. The label change is explicitly aligned with the contactmatrix package.
◆ Prediction
Expect the deprecated dotted argument names and the remaining in-package download paths to be removed once the contactsurveys handoff completes, leaving contact_matrix() as a thin wrapper over the pipeline.
Alternatives to n2kanalysis and socialmixr
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 n2kanalysis or socialmixr.
audubon
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
affiner
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
r-ledger
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
See all n2kanalysis alternatives → · See all socialmixr alternatives →
Recent activity from n2kanalysis and socialmixr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agosocialmixrContact matrices become a composable pipeline ⚡
- 4mo agon2kanalysisconnect_inbo_s3() exposes temporary credentials to R
- 6mo agosocialmixrPatch: load_survey() handles files without cont_id
- 6mo agosocialmixrAge-group assignment and population lookup split out
- 1y agon2kanalysisINLA models with SPDE elements supported
- 1y agosocialmixrFaster survey loading and cached Zenodo lookups
- 2y agosocialmixrcontact_matrix() now takes survey objects only
- 2y agon2kanalysisfit_model() made more efficient
- 2y agosocialmixrTest fixes for machine-precision failures
- 3y agon2kanalysisHurdle models with imputation added
- 7y agon2kanalysisImputed data handling improvements
- 7y agon2kanalysisINLA models consolidated onto a single class
Frequently asked questions
What is the difference between n2kanalysis and socialmixr?
They serve adjacent needs but don't currently overlap on shipped themes. n2kanalysis and socialmixr 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 n2kanalysis better than socialmixr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. n2kanalysis and socialmixr 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 n2kanalysis?
Top n2kanalysis alternatives in Analytics are ranked by recent ship velocity. Browse the "n2kanalysis alternatives" section above for the current picks, or visit /alternatives/n2kanalysis for the full list with editorial commentary on each.
What are the best alternatives to socialmixr?
Top socialmixr alternatives in Analytics are ranked by recent ship velocity. Browse the "socialmixr alternatives" section above for the current picks, or visit /alternatives/socialmixr for the full list with editorial commentary on each.