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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.