- Minor website and documentation improvements.
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 callaggr_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 viasummary.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)
- The package name has been changed to ggfixest (#29).
- Support for
ggcoefplot
, a ggplot equivalent ofcoefplot
(#28). - Support
pt.size
argument for controlling the size of point markers (#27). Thanks @jcvdav. - Support
keep
anddrop
arguments for subsetting coefficients (#22).
- Fix naming mismatch in multiple estimation with different time periods (#10). Thanks @brockmwilson.
- Slight tweak to default theme, which now uses dotted grid lines to more
closely match
iplot()
(#e5cf0b0). - Correctly parse formula-transformed dependent variable names, e.g.
log(y
(#20). - The confidence intervals for some figures may be slightly wider due to upstream changes in fixest (#25; see also lrberge/fixest#408).
- Add a (visual) test suite (#12 with several increments thereafter). Thanks to
@vincentarelbundock for
tinyviztesttinysnapshot! - Switch to
marginaleffects::hypotheses()
internally foraggr_es()
to match the upstream changes in marginaleffects. - Simplify multi_fixest object parsing (#19).
- Minor documentation improvements.
- Tweaks to plot output, including integer breaks on x-axis (where appropriate) and allow additional user-level control (e.g. CI alpha or width levels)
- Support multiple confidence levels (#2, #5)
- Support multiple LHS variables (#1)
- Added a
NEWS.md
file to track changes to the package.