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dissmapr vs intsurv

A side-by-side editorial comparison of dissmapr and intsurv — release velocity, themes, recent moves, and the top alternatives to consider.

dissmapr vs intsurv: at a glance

Featuredissmaprintsurv
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbiodiversity, dissimilarity, bioregions, research softwaresurvival-analysis, cure-models, censored-data, regularization
Last editorial update6h ago44m ago
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What is dissmapr?

dissmapr spent its first releases becoming citable rather than adding methods.

dissmapr provides an R workflow for compositional dissimilarity and turnover — occurrence data through spatial gridding and environmental linkage to order-wise dissimilarity and bioregional mapping. All three releases to date are infrastructure: a first citable archive in June 2026, then a maturity release aligning the package with the B-Cubed software development guide. The ten-function pipeline described in the notes has not changed across them.

Read the full dissmapr trajectory →

What is intsurv?

A Cox cure-rate model package woke up after four years to simplify its own interface.

intsurv fits Cox cure rate models for right-censored survival data where event status may be uncertain — the case where you cannot tell whether a subject experienced the event or was never susceptible to it. The core has been stable since 2019: cox_cure() and its regularized counterpart cox_cure_net(), plus a weighted concordance index and a data simulator. After more than four years without a release, version 0.3.0 arrived in September 2025 and restructured how those two functions are configured rather than adding capability.

Read the full intsurv trajectory →

dissmapr vs intsurv: editorial side-by-side

D
dissmapr
ANALYTICS
0.0

dissmapr spent its first releases becoming citable rather than adding methods.

◆ Current state

dissmapr provides an R workflow for compositional dissimilarity and turnover — occurrence data through spatial gridding and environmental linkage to order-wise dissimilarity and bioregional mapping. All three releases to date are infrastructure: a first citable archive in June 2026, then a maturity release aligning the package with the B-Cubed software development guide. The ten-function pipeline described in the notes has not changed across them.

◆ Where it's heading

The work is compliance-shaped rather than method-shaped: explicit @importFrom in place of whole-namespace imports, library() calls removed from package code, roughly 11 MB of development caches dropped, a runnable README quick-start, and Zenodo archival with CITATION.cff and codemeta.json. dissmapr moves in lockstep with its B-Cubed sibling invasimapr — both tagged 0.1.0 within three minutes of each other and 0.2.0 on the same day — so releases here reflect project-wide standards deadlines more than package-specific work. The stated roadmap of additional ecological distance metrics has not yet landed.

◆ Prediction

With standards work now signed off and R CMD check clean, the next release is the first real chance for the roadmap items — additional ecological distance metrics — to arrive.

I
intsurv
ANALYTICS
0.0

A Cox cure-rate model package woke up after four years to simplify its own interface.

◆ Current state

intsurv fits Cox cure rate models for right-censored survival data where event status may be uncertain — the case where you cannot tell whether a subject experienced the event or was never susceptible to it. The core has been stable since 2019: cox_cure() and its regularized counterpart cox_cure_net(), plus a weighted concordance index and a data simulator. After more than four years without a release, version 0.3.0 arrived in September 2025 and restructured how those two functions are configured rather than adding capability.

◆ Where it's heading

The package has reached the point where the methods are settled and the remaining work is ergonomics. Moving control parameters, M-step settings and penalty specification into cox_cure.control(), cox_cure.mstep() and cox_cure_net.penalty() follows the established R convention of separating tuning from the model formula, and it arrives long after the arguments accumulated. The C++ headers were placed in inst/include as early as 2019 so other packages could link against them, which suggests the implementation was always intended to be reused.

◆ Prediction

The gap between 0.2.2 and 0.3.0 makes cadence a poor basis for prediction. What the entries do support is that the interface rework is unfinished business rather than a prelude to new methods, so consolidation around the new helper functions is the likelier next step.

Alternatives to dissmapr and intsurv

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 dissmapr or intsurv.

See all dissmapr alternatives → · See all intsurv alternatives →

Recent activity from dissmapr and intsurv

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agodissmaprVersion bump; notes identical to 0.2.0
  2. 1mo agodissmaprB-Cubed standards alignment, docs overhaul and a citable DOI
  3. 1mo agodissmaprdissmapr v0.1.0: First citable release
  4. 10mo agointsurvModel configuration moves into dedicated control functions
  5. 5y agointsurvCross-validated model selection and offset terms added
  6. 6y agointsurvC++ headers relocated so other packages can link them
  7. 7y agointsurvCox cure models for uncertain event status arrive
  8. 7y agointsurvParameter initialization methods added to the alpha
  9. 7y agointsurvAlpha cut for paper submission and simulation reproducibility

Frequently asked questions

What is the difference between dissmapr and intsurv?

They serve adjacent needs but don't currently overlap on shipped themes. dissmapr and intsurv 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 dissmapr better than intsurv?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dissmapr and intsurv 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 dissmapr?

Top dissmapr alternatives in Analytics are ranked by recent ship velocity. Browse the "dissmapr alternatives" section above for the current picks, or visit /alternatives/dissmapr for the full list with editorial commentary on each.

What are the best alternatives to intsurv?

Top intsurv alternatives in Analytics are ranked by recent ship velocity. Browse the "intsurv alternatives" section above for the current picks, or visit /alternatives/intsurv for the full list with editorial commentary on each.