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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.
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