Package: cfcompare 0.2.1

Takuma Iwasaki

cfcompare: Compare DID, SDID, Matrix Completion and the Triply Robust Panel Estimator

A comparison toolkit for binary-treatment panel causal inference. Runs difference-in-differences (DID; two-way fixed effects), synthetic difference-in-differences (SDID), synthetic control (SC), matrix completion (MC), and the Triply RObust Panel (TROP) estimator of Athey, Imbens, Qu and Viviano (2026) <doi:10.1002/jae.70061> on the same data, and returns their average treatment effects on the treated (ATT) on a single tidy schema with shared plots. TROP, DID and matrix completion are implemented natively; SDID and SC are obtained through the 'synthdid' package, and an alternative matrix-completion / interactive fixed-effects estimator through 'gsynth'. The suggested packages 'synthdid' and 'augsynth' are not on CRAN; they can be installed from GitHub at <https://github.com/synth-inference/synthdid> and <https://github.com/ebenmichael/augsynth>, and every feature that needs them is skipped with a message when they are absent. This is an unofficial, independent implementation and is not affiliated with or endorsed by the authors of the TROP estimator.

Authors:Takuma Iwasaki [aut, cre, cph]

cfcompare_0.2.1.tar.gz
cfcompare_0.2.1.zip(r-4.7-any)cfcompare_0.2.1.zip(r-4.6-any)
cfcompare_0.2.1.tar.gz(r-4.7-any)cfcompare_0.2.1.tar.gz(r-4.6-any)
cfcompare_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cfcompare/json (API)

# Install 'cfcompare' in R:

install.packages('cfcompare', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/takuma1102/cfcompare/issues

Pkgdown/docs site:https://takuma1102.github.io

On CRAN:

2.70 score 4 scripts 25 exports 17 dependencies

Last updated from:fcec6959c7. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	171
source / vignettes	OK	224
linux-release	OK	154
windows-devel	OK	148
windows-release	OK	152
wasm-release	OK	131

Exports:as_att autoplot bind_att compare_se_modes counterfactual_matrix panel_compare panel_matrices panel_rmse plot_counterfactual plot_trop_surfaces predict_counterfactual rmse_curve rmse_curves selected_lambda sim_panel sim_semisynthetic surface_matrix trop trop_ablation trop_control trop_event_study trop_matrix trop_placebo_test trop_sensitivity true_att

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer rlang S7 scales vctrs viridisLite withr

Comparing panel estimators with cfcompare

Rendered fromcfcompare.Rmdusingknitr::rmarkdown

Last update: 2026-11-07
Started: 2026-11-07

Help page	Topics
Coerce estimator output to the cfcompare ATT schema	as_att
Forest plot of ATT estimates across methods	autoplot.cf_att_tbl autoplot.cf_comparison
Line plot of estimation RMSE versus a design dimension	autoplot.cf_rmse_curve
Autoplot for paired RMSE curves	autoplot.cf_rmse_curves
Bar chart of out-of-sample RMSE across methods	autoplot.cf_rmse_tbl
Plot a TROP standard-error comparison	autoplot.cf_se_comparison
Heatmap of the TROP penalty-sensitivity grid	autoplot.cf_trop_grid
Synthetic-control-style trajectory plot for a single TROP fit	autoplot.trop
Event-study plot for a TROP fit	autoplot.trop_event_study
Plot a TROP placebo test	autoplot.trop_placebo_test
Stack ATT results into one comparison table	bind_att
Compare TROP standard-error methods on one fit	compare_se_modes
Estimated counterfactual (untreated potential outcome) matrix	counterfactual_matrix predict_counterfactual
Render a TROP ablation table as paste-ready LaTeX or Markdown	format.trop_ablation
Compare DID, SDID, MC and TROP on the same panel	panel_compare
Reshape a long panel into TROP matrices	panel_matrices
Out-of-sample RMSE across panel estimators	panel_rmse
Plot observed vs predicted counterfactual trajectories	plot_counterfactual
Base-R surface views of a TROP penalty-sensitivity grid	plot_trop_surfaces
Plot one or both estimation-RMSE curves	plot.cf_rmse_curve plot.cf_rmse_curves
Estimation-RMSE curve over one design dimension	rmse_curve
Estimation-RMSE curves over both design dimensions	rmse_curves
CV-selected penalties from a TROP penalty-sensitivity grid	selected_lambda
Simulate a panel from a low-rank factor model	sim_panel
Build a semi-synthetic panel from real data	sim_semisynthetic
Surface matrix from a TROP penalty-sensitivity grid	surface_matrix
Triply RObust Panel (TROP) estimator	trop
Penalty ablation for the TROP estimator	plot.trop_ablation print.trop_ablation trop_ablation
Control settings for 'trop()'	trop_control
Per-period (event-study) effects from a TROP fit	trop_event_study
TROP estimate on matrix input	trop_matrix
Placebo (randomisation) test for a TROP ATT	print.trop_placebo_test trop_placebo_test
TROP penalty-sensitivity grid (heatmap data)	trop_sensitivity
True ATT of a (semi-)synthetic panel	true_att

Package: cfcompare 0.2.1

cfcompare: Compare DID, SDID, Matrix Completion and the Triply Robust Panel Estimator

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)