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).svglite
dependency version and update test
snapshots. (#51)aggr_es
objects.
(#43)ggh4x
dependency with legendry
.
(#41 @teunbrand)First CRAN release!
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)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)ggcoefplot
, a ggplot equivalent of
coefplot
(#28).pt.size
argument for controlling the size of
point markers (#27). Thanks @jcvdav.keep
and drop
arguments for
subsetting coefficients (#22).iplot()
(#e5cf0b0).log(y
(#20).marginaleffects::hypotheses()
internally for
aggr_es()
to match the upstream changes in
marginaleffects.NEWS.md
file to track changes to the
package.