simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
effectplots vs ibis.iSDM
A side-by-side editorial comparison of effectplots and ibis.iSDM — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
effectplots vs ibis.iSDM: at a glance
What is effectplots?
A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.
effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.
What is ibis.iSDM?
A raster-to-terra migration is the only readable change in a feed of merge notes.
ibis.iSDM fits integrated species distribution models in R. Its release notes are GitHub's auto-generated pull-request lists, so most tags say only which branch was merged and by whom. The one release with a written note, 0.0.5, records the migration from raster to terra across the whole package, with an explicit warning that established code may break.
effectplots vs ibis.iSDM: editorial side-by-side
effectplots
0.0ANALYTICS
A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.
◆ Current state
effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.
◆ Where it's heading
After 0.2.0 the work turns to the awkward cases - missing values on the x axis, explicit and empty factor levels, discrete grid detection. The package is also widening past a single modelling ecosystem: h2o support and tidymodels examples arrived with 0.2.0, and fcut() was exported as a fast replacement for cut(). Release notes are issue-numbered throughout, so the roadmap is effectively the issue tracker.
◆ Prediction
Expect continued default tuning around collapse_m and discrete_m plus more model-backend coverage; the cadence points to another batch of issue fixes rather than a new plot type.
ibis.iSDM
0.0ANALYTICS
A raster-to-terra migration is the only readable change in a feed of merge notes.
◆ Current state
ibis.iSDM fits integrated species distribution models in R. Its release notes are GitHub's auto-generated pull-request lists, so most tags say only which branch was merged and by whom. The one release with a written note, 0.0.5, records the migration from raster to terra across the whole package, with an explicit warning that established code may break.
◆ Where it's heading
Direction cannot be read from this feed with any confidence - three of the four visible tags carry nothing beyond merge titles and a full-changelog link. What is visible is a 2023 spent on dependency modernisation and dev-branch merges, ending with a 0.1.1 tag that December and nothing since.
◆ Prediction
These entries do not support a prediction; the notes would have to carry written content before a direction could be read from them.
Alternatives to effectplots and ibis.iSDM
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 effectplots or ibis.iSDM.
lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
anyflights
A nycflights13 generator whose recent work is all about the data being right.
vinereg
Conditional density and log-likelihood fill out a vine copula regression package.
stringx
A drop-in string API for base R, kept alive by upstream check failures.
healthyR.data
From a bundled hospital dataset to a live CMS API client.
See all effectplots alternatives → · See all ibis.iSDM alternatives →
Recent activity from effectplots and ibis.iSDM
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoeffectplotsRare categories collapse into an 'other' level
- 1y agoeffectplotsMissing x values now plotted for numeric features
- 1y agoeffectplotsNumeric core rewritten after an in-place data corruption fix ⚡
- 1y agoeffectplotsInitial CRAN release
- 2y agoibis.iSDMVersion 0.1.1
- 3y agoibis.iSDMVersion 0.0.7
- 3y agoibis.iSDMVersion 0.0.6
- 3y agoibis.iSDMraster replaced by terra across the package ⚡
Frequently asked questions
What is the difference between effectplots and ibis.iSDM?
Both compete on the same themes — r-package — within Analytics. effectplots and ibis.iSDM 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 effectplots better than ibis.iSDM?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. effectplots and ibis.iSDM 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 effectplots?
Top effectplots alternatives in Analytics are ranked by recent ship velocity. Browse the "effectplots alternatives" section above for the current picks, or visit /alternatives/effectplots for the full list with editorial commentary on each.
What are the best alternatives to ibis.iSDM?
Top ibis.iSDM alternatives in Analytics are ranked by recent ship velocity. Browse the "ibis.iSDM alternatives" section above for the current picks, or visit /alternatives/ibis-isdm for the full list with editorial commentary on each.