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Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
Comparison · Analytics
rempsyc vs TidyDensity
A side-by-side editorial comparison of rempsyc and TidyDensity — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
rempsyc vs TidyDensity: 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 TidyDensity?
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.
rempsyc vs TidyDensity: 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.
TidyDensity
0.0ANALYTICS
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
◆ Current state
TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.
◆ Where it's heading
The package is filling out a matrix rather than changing shape — every new distribution gets the same four or five companion functions, so the surface grows predictably and the design does not. What variation exists comes from utilities that work across distributions: MCMC sampling, bootstrap helpers, time series conversion, distribution comparison. The two genuine breaking changes in this window were both internal reworks, moving generation onto data.table and rewriting quantile normalization for speed.
◆ Prediction
The established pattern of adding a distribution with its full helper set is the most likely continuation. Recent releases have been small, suggesting the catalogue is approaching the distributions its author considers worth covering.
Alternatives to rempsyc and TidyDensity
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 TidyDensity.
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 rempsyc alternatives → · See all TidyDensity alternatives →
Recent activity from rempsyc and TidyDensity
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
- 11mo agoTidyDensityquantile_normalize rewritten, changing its output
- 1y agoTidyDensityDocumentation corrections for two distribution functions
- 1y agorempsycExcel correlation export delegated to the correlation package
- 2y agorempsycTable spacing control and a fix for name collision with afex
- 2y agoTidyDensityZero-truncated distributions and AIC helpers added in bulk
- 2y agoTidyDensityMCMC sampling and quantile normalization join the utilities
- 2y agoTidyDensityGeneration moves to data.table; native pipe raises the R floor
- 2y agoTidyDensityDistributions convertible to time series objects
- 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
- 2y agorempsycLegend and standardization-check fixes
- 2y agorempsycnice_table starts coercing model objects automatically
Frequently asked questions
What is the difference between rempsyc and TidyDensity?
Both compete on the same themes — r-package — within Analytics. rempsyc and TidyDensity 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 TidyDensity?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rempsyc and TidyDensity 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 TidyDensity?
Top TidyDensity alternatives in Analytics are ranked by recent ship velocity. Browse the "TidyDensity alternatives" section above for the current picks, or visit /alternatives/tidydensity for the full list with editorial commentary on each.