performance 0.10.4

• icc() and r2_nakagawa() gain a ci_method argument, to either calculate
  confidence intervals using boot::boot() (instead of lmer::bootMer()) when
  ci_method = "boot" or analytical confidence intervals
  (ci_method = "analytical"). Use ci_method = "boot" when the default method
  fails to compute confidence intervals and use ci_method = "analytical" if
  bootstrapped intervals cannot be calculated at all. Note that the default
  computation method is preferred.

• check_predictions() accepts a bandwidth argument (smoothing bandwidth),
  which is passed down to the plot() methods density-estimation.

• check_predictions() gains a type argument, which is passed down to the
  plot() method to change plot-type (density or discrete dots/intervals).
  By default, type is set to "default" for models without discrete outcomes,
  and else type = "discrete_interval".

• performance_accuracy() now includes confidence intervals, and reports those
  by default (the standard error is no longer reported, but still included).

Bug fixes

• Fixed issue in check_collinearity() for fixest models that used i()
  to create interactions in formulas.