svines
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
Comparison · Analytics
rempsyc vs washdata
A side-by-side editorial comparison of rempsyc and washdata — release velocity, themes, recent moves, and the top alternatives to consider.
rempsyc vs washdata: at a glance
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.
What is washdata?
washdata is a fixed survey dataset; eight years of releases have changed only its packaging.
A data package distributing the Urban Water and Sanitation Survey, on CRAN since January 2018. No release has altered the data. The 2018 pair added survey country, year and aim to DESCRIPTION and fixed a README link; everything since — 2020, 2024 and the January 2026 release — is documentation, formatting, badges, repository refreshes and updates for a new rhub version.
rempsyc vs washdata: editorial side-by-side
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.
washdata
0.0ANALYTICS
washdata is a fixed survey dataset; eight years of releases have changed only its packaging.
◆ Current state
A data package distributing the Urban Water and Sanitation Survey, on CRAN since January 2018. No release has altered the data. The 2018 pair added survey country, year and aim to DESCRIPTION and fixed a README link; everything since — 2020, 2024 and the January 2026 release — is documentation, formatting, badges, repository refreshes and updates for a new rhub version.
◆ Where it's heading
Nothing is heading anywhere, and for a dataset package that is the point: the value is a citable, unchanging artifact, and the release history exists to keep it installable as R's toolchain moves. The maintenance cadence matches the maintainer's other nutrition packages, which received the same repository-refresh treatment in the same period. Note also that the tags are backfilled out of order — v0.1.0 carries a later stamp than v0.1.2.
◆ Prediction
Expect further releases only when CRAN checks or infrastructure require them; there is no indication the survey data itself will be extended.
Alternatives to rempsyc and washdata
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 rempsyc or washdata.
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.
eiaapi
A thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.
delaporte
A Fortran-backed Delaporte distribution package where every release is compiler and CRAN weather.
NHSRwaitinglist
Queuing theory packaged for NHS waiting-list managers, one year into a community-built first release.
See all rempsyc alternatives → · See all washdata alternatives →
Recent activity from rempsyc and washdata
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agowashdataRepository and toolchain maintenance
- 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
- 1y agorempsycExcel correlation export delegated to the correlation package
- 2y agorempsycTable spacing control and a fix for name collision with afex
- 2y agowashdataDocumentation and formatting updates
- 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
- 2y agorempsycLegend and standardization-check fixes
- 2y agorempsycnice_table starts coercing model objects automatically
- 5y agowashdataSecond release: documentation and formatting
- 8y agowashdataPre-release of the survey dataset
- 8y agowashdataFirst CRAN release of the Urban Water and Sanitation Survey
Frequently asked questions
What is the difference between rempsyc and washdata?
They serve adjacent needs but don't currently overlap on shipped themes. rempsyc and washdata 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 rempsyc better than washdata?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rempsyc and washdata 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 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.
What are the best alternatives to washdata?
Top washdata alternatives in Analytics are ranked by recent ship velocity. Browse the "washdata alternatives" section above for the current picks, or visit /alternatives/washdata for the full list with editorial commentary on each.