pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
Comparison · Infra & APIs
CptNonPar vs jSDM
A side-by-side editorial comparison of CptNonPar and jSDM — release velocity, themes, recent moves, and the top alternatives to consider.
CptNonPar vs jSDM: at a glance
What is CptNonPar?
Nonparametric change point detection swaps p-values for importance scores.
CptNonPar implements nonparametric MOJO change point detection for possibly multivariate, serially dependent data, through single-lag, multi-lag and multiscale entry points. Recent releases concern how results are reported and how data is preprocessed rather than new detection machinery. The underlying method was accepted at Biometrika during the 0.3.0 cycle.
What is jSDM?
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
jSDM fits joint species distribution models by Gibbs sampling, with the sampler written in C++ against GSL and Armadillo and exposed through binomial probit, binomial logit, Poisson log and Gaussian entry points. The 0.2 line extended it with species traits, constrained factor loadings and residual-association plots. The one entry since 2023 carries only a compare link.
CptNonPar vs jSDM: editorial side-by-side
CptNonPar
0.0INFRA · APIS
Nonparametric change point detection swaps p-values for importance scores.
◆ Current state
CptNonPar implements nonparametric MOJO change point detection for possibly multivariate, serially dependent data, through single-lag, multi-lag and multiscale entry points. Recent releases concern how results are reported and how data is preprocessed rather than new detection machinery. The underlying method was accepted at Biometrika during the 0.3.0 cycle.
◆ Where it's heading
The package is tightening the statistical interface it exposes: p-values gave way to importance scores across all three detection functions, manual thresholds became specifiable per lag, and the latest release makes centring and scaling the default preprocessing step. Each change folds a decision the user previously had to make into the package itself.
◆ Prediction
Expect further work on defaults and reporting around the existing MOJO estimators rather than a new detection method.
jSDM
0.0INFRA · APIS
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
◆ Current state
jSDM fits joint species distribution models by Gibbs sampling, with the sampler written in C++ against GSL and Armadillo and exposed through binomial probit, binomial logit, Poisson log and Gaussian entry points. The 0.2 line extended it with species traits, constrained factor loadings and residual-association plots. The one entry since 2023 carries only a compare link.
◆ Where it's heading
The package built out its model family quickly and then stopped: five of the six visible entries are stamped the same day as a backfilled archive, and the only later release says nothing about its contents. The direction the 0.2 line was heading, toward trait-mediated species effects and better convergence on latent variable models, has no visible continuation.
◆ Prediction
The feed does not support a confident prediction; the latest entry publishes no notes, so whether the package is still developing or only being kept CRAN-clean cannot be read from it.
Alternatives to CptNonPar and jSDM
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 CptNonPar or jSDM.
ggalign
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
prioritizr
Conservation planning absorbs the literature's target-setting rules as code.
rsofun
An ecosystem model starts tracking carbon isotopes and land-use change.
usmap
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
trackeR
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
See all CptNonPar alternatives → · See all jSDM alternatives →
Recent activity from CptNonPar and jSDM
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agoCptNonParData centred and scaled by default before detection
- 9mo agojSDMjSDM CRAN release v0.2.7: Joint Species Distribution Models
- 1y agoCptNonParImportance scores replace p-values; per-lag manual thresholds
- 2y agoCptNonParPaper link updated for CRAN checks
- 3y agojSDMSpecies traits, constrained loadings and association plots
- 3y agojSDMFirst release: C++ Gibbs sampler for joint species models ⚡
- 3y agojSDMResidual correlation functions can filter to significant values
- 3y agojSDMjSDM_gaussian() fits continuous data with overdispersion
- 3y agojSDMFour versions of CRAN check corrections
- 3y agoCptNonParDescription field and example cleanups
Frequently asked questions
What is the difference between CptNonPar and jSDM?
They serve adjacent needs but don't currently overlap on shipped themes. CptNonPar and jSDM 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 CptNonPar better than jSDM?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CptNonPar and jSDM 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 CptNonPar?
Top CptNonPar alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "CptNonPar alternatives" section above for the current picks, or visit /alternatives/cptnonpar for the full list with editorial commentary on each.
What are the best alternatives to jSDM?
Top jSDM alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "jSDM alternatives" section above for the current picks, or visit /alternatives/jsdm for the full list with editorial commentary on each.