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fect vs rempsyc

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

Shared themes:r-package

fect vs rempsyc: at a glance

Featurefectrempsyc
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, causal-inference, panel-data, api-redesignapa-formatting, psychology-research, statistical-tables, ggplot2
Last editorial update4h ago58m ago
WebsiteVisit →Visit →

What is fect?

A counterfactual estimator turning itself into a platform for multiple estimands

fect implements counterfactual estimators for panel data with treatment effects — imputation-based fixed effects, interactive fixed effects, matrix completion. The 2026 releases move fast and bundle heavily: 2.1.0 rewrote complex fixed effect handling, 2.2.0 unified cross-validation under a single cv.method parameter and replaced method='gsynth' with an explicit time.component.from switch, 2.4.1 introduced a post-hoc estimand API, and 2.4.5 added group.fe for coarsened fixed effects plus a $sample slot exposing which cells entered estimation.

Read the full fect trajectory →

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.

Read the full rempsyc trajectory →

fect vs rempsyc: editorial side-by-side

F
fect
ANALYTICS
0.0

A counterfactual estimator turning itself into a platform for multiple estimands

◆ Current state

fect implements counterfactual estimators for panel data with treatment effects — imputation-based fixed effects, interactive fixed effects, matrix completion. The 2026 releases move fast and bundle heavily: 2.1.0 rewrote complex fixed effect handling, 2.2.0 unified cross-validation under a single cv.method parameter and replaced method='gsynth' with an explicit time.component.from switch, 2.4.1 introduced a post-hoc estimand API, and 2.4.5 added group.fe for coarsened fixed effects plus a $sample slot exposing which cells entered estimation.

◆ Where it's heading

The direction is separation of estimation from interpretation. Where the package once returned one effect from one fit, estimand() now dispatches typed estimands — ATT, cumulative ATT, APTT, log ATT — from any imputation fit, with effect() and att.cumu() soft-deprecated but byte-identical pending 3.0.0. Alongside that runs a transparency thread: the $sample matrix, out-of-sample comparison via fect_mspe(), and named component sources instead of opaque method aliases. The release notes are unusually precise about which results change and which do not.

◆ Prediction

The soft-deprecation notice names 3.0.0 as the removal point for effect() and att.cumu(), so a major release consolidating on the estimand() dispatcher is the clearly signposted next step.

R
rempsyc
ANALYTICS
0.0

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 fect 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 fect or rempsyc.

See all fect alternatives → · See all rempsyc alternatives →

Recent activity from fect and rempsyc

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

  1. 2mo agofectAdds group.fe for coarsened fixed effects and a $sample slot
  2. 3mo agofectPost-hoc estimand API decouples estimands from the fit
  3. 4mo agofectUnified cross-validation and explicit control of time components
  4. 7mo agofectRewrites complex fixed effect handling and fixes speed
  5. 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
  6. 11mo agofectAdds heterogeneous treatment effect plots and caps default cores
  7. 1y agorempsycExcel correlation export delegated to the correlation package
  8. 2y agorempsycTable spacing control and a fix for name collision with afex
  9. 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
  10. 2y agorempsycLegend and standardization-check fixes
  11. 2y agorempsycnice_table starts coercing model objects automatically

Frequently asked questions

What is the difference between fect and rempsyc?

Both compete on the same themes — r-package — within Analytics. fect 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 fect better than rempsyc?

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

Top fect alternatives in Analytics are ranked by recent ship velocity. Browse the "fect alternatives" section above for the current picks, or visit /alternatives/fect 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.