Changelog • ggfixest

ggfixest 0.4.0

Users can now supply a list of vcov arguments to compare multiple SE adjustments on the fly. (#65)

est = est = feols(flipper_len ~ bill_len | species, penguins)
ggcoefplot(est, vcov = list("iid", "hc1", ~species))

The keep and drop arguments now work correctly with a list of models. Thanks to @femdias for the report. (#60)
If a (named) list of models if provided to either ggcoefplot or ggiplot then the original order is preserved for grouping and facet behaviour (#63)

CRAN release: 2025-05-14

The new aggr_es(..., period = "diff") convenience keyword argument allows users to estimate the difference between the (mean) post- and pre-treatment periods. Thanks to @FBrunamonti for the suggestion. (#52).

CRAN release: 2025-01-22

Fix missing “hypothesis” attribute for aggr_es objects. (#43)
Fix dodge misalignment between points and lines with multi fixest objects. (#44)

CRAN release: 2023-12-14

First CRAN release!

The aggr_es function now supports numeric sequences for aggregating a specific subset of periods, in addition to the existing keyword strings like “pre” or “post”. This functionality also passes through to the higher order plotting functions that call aggr_es under the hood. For example, ggiplot(est, aggr_eff = 6:8). (#33)
Users can now adjust standard errors for model objects on-the-fly at plot time, by passing an appropriate argument, e.g. ggcoefplot(est, vcov = "hc1"). These on-the-fly adjustments are done via summary.fixest, and so the effect is just the same as passing an adjusted object directly, e.g. ggcoefplot(summary(est, vcov = "hc1")). However, it may prove more convenient for simultaneously adjusting a list of multiple models, e.g. ggcoefplot(list(est1, est2, est3), vcov = "hc1"). (#35)