ggfixest 0.1.0
First CRAN release!
New features
- 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)
ggfixest 0.0.3
Breaking change
- The package name has been changed to ggfixest (#29).
ggiplot 0.0.2
New features
- Support for
ggcoefplot
, a ggplot equivalent of coefplot
(#28).
- Support
pt.size
argument for controlling the size of point markers (#27). Thanks @jcvdav.
- Support
keep
and drop
arguments for subsetting coefficients (#22).
Bug fixes and breaking changes
- 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 https://github.com/lrberge/fixest/pull/408).
Internals
- Add a (visual) test suite (#12 with several increments thereafter). Thanks to @vincentarelbundock for
tinyviztest tinysnapshot!
- Switch to
marginaleffects::hypotheses()
internally for aggr_es()
to match the upstream changes in marginaleffects.
- Simplify multi_fixest object parsing (#19).
- Minor documentation improvements.
ggiplot 0.0.1
- 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.