STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
Comparison · Analytics
incase vs rempsyc
A side-by-side editorial comparison of incase and rempsyc — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
incase vs rempsyc: at a glance
What is incase?
A safer case_when that keeps hardening its guarantees while realigning to tidyverse naming.
incase supplies in_case(), switch_case(), grep_case() and fn_case() as vectorised recoding functions in the dplyr::case_when idiom, with _fct and _list variants that return factors or lists instead of forcing atomic type conversion. The 0.4.0 release deprecates the undotted preserve, default and ordered arguments in favour of dotted forms, starting a removal clock, and adds .exhaustive to error on unmatched inputs.
What is rempsyc?
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.
incase vs rempsyc: editorial side-by-side
incase
0.0ANALYTICS
A safer case_when that keeps hardening its guarantees while realigning to tidyverse naming.
◆ Current state
incase supplies in_case(), switch_case(), grep_case() and fn_case() as vectorised recoding functions in the dplyr::case_when idiom, with _fct and _list variants that return factors or lists instead of forcing atomic type conversion. The 0.4.0 release deprecates the undotted preserve, default and ordered arguments in favour of dotted forms, starting a removal clock, and adds .exhaustive to error on unmatched inputs.
◆ Where it's heading
The arc is consistently toward catching recoding mistakes at the call site rather than letting them pass silently. Early releases broadened how a match can be expressed — pattern matching, function application, factor and list returns. Recent work has shifted to guarantees about the result: correct factor level ordering relative to .default, and now an exhaustiveness check. Notably 0.4.0 reverses the 0.3.2 decision to accept arguments with or without dots, trading that flexibility for namespace safety against user-supplied case names.
◆ Prediction
The deprecation warnings introduced in 0.4.0 point to a follow-up release that removes the undotted arguments outright. Whether .exhaustive eventually becomes the default is unclear from these entries.
rempsyc
0.0ANALYTICS
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
◆ Current state
rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.
◆ Where it's heading
Two forces drive this package and neither is its own roadmap. The first is APA style: when the 7th edition advised against beta for standardized coefficients, the package switched its output to italic b with an asterisk. The second is the surrounding ecosystem — formatting is aligned to what lavaanExtra and afex produce, contrast handling was delegated to easystats' modelbased, and Excel correlation matrix export was handed entirely to the correlation package to cut maintenance.
◆ Prediction
The pattern of delegating functionality to specialist packages while keeping the formatting layer is well established and likely continues. Because releases bundle many small dev versions, the next one will probably again mix plotting refinements with fixes surfaced by upstream changes.
Alternatives to incase and rempsyc
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 incase or rempsyc.
ggtrace
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
kde1d
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
svines
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
gghighlight
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
rtrek
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
See all incase alternatives → · See all rempsyc alternatives →
Recent activity from incase and rempsyc
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
- 11mo agoincaseDotted arguments and an .exhaustive matching check
- 1y agorempsycExcel correlation export delegated to the correlation package
- 2y agorempsycTable spacing control and a fix for name collision with afex
- 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
- 2y agorempsycLegend and standardization-check fixes
- 2y agoincaseDotted and undotted arguments both accepted
- 2y agorempsycnice_table starts coercing model objects automatically
- 5y agoincaseFix NULL return when no condition matches
- 5y agoincaseFactor and list return families arrive
- 5y agoincaseDrop unused stats import to clear a check NOTE
- 5y agoincasePattern and function-based matching families added
Frequently asked questions
What is the difference between incase and rempsyc?
Both compete on the same themes — r-package — within Analytics. incase and rempsyc 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 incase better than rempsyc?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. incase and rempsyc 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 incase?
Top incase alternatives in Analytics are ranked by recent ship velocity. Browse the "incase alternatives" section above for the current picks, or visit /alternatives/incase for the full list with editorial commentary on each.
What are the best alternatives to rempsyc?
Top rempsyc alternatives in Analytics are ranked by recent ship velocity. Browse the "rempsyc alternatives" section above for the current picks, or visit /alternatives/rempsyc for the full list with editorial commentary on each.