Version 0.10.0 released and on CRAN

Earlier this evening I wrapped up the source tarball for version 0.10.0 of gratia
and submitted it to CRAN. Following automated check's, this new version of
gratia is now available from CRAN 🥳

This is a small release of gratia to coincide with the final stages of the review
process of a Journal of Open Source Software paper on gratia that I submitted
earlier in the year. Apart from a slew of bug fixes, the main new feature in this
release is conditional_values(), a tidy/ggplot version of mgcv::vis.gam() that
is based on marginaleffects plot_predictions(). conditional_values() is
intended as a user friendly way to visualise predicted values of the model that
are conditional on supplied values of covariates. For more complex GAMs, such
visualisations are an essential way to understand and interpret the fitted model.

New features

• conditional_values() and its draw() method compute and plot predictions
  from a fitted GAM that are conditional on one or more covariates. The
  function is a wrapper around fitted_values() but allows the user simple ways
  to specify which covariates to condition on and at what values those
  covariates should take. It provides similar functionality to
  marginaleffects::plot_predictions(), but is simpler. See #300.

• penalty() and basis() can now allow the smooth to be reparameterized such
  that the resulting basis has an identity matrix. This more clearly highlights
  the penalty null space, the functions that the penalty has no effect on.

• draw.gam() and draw.smooth_estimates() gain argument caption, which, if
  set to FALSE will not plot the smooth basis type as a caption on the plot.
  #307

• appraise() and qq_plot.gam() now allow the user to set a random seed that
  is used when generating reference quantiles with method = "uniform" or
  method = "simulate".

Bug fixes

• derivative_samples() was ignoring the scale argument. #293 Reported by
  @jonathonmellor

• Argument level to derivative_samples() was included accidentally. As of
  v0.9.2.9002 this argument is deprecated and using it will now generate a
  warning. #291

• draw() was not plotting cyclic P spline smooths. Reported by @Zuckerbrot
  #297

• derivatives() would fail for "fs" smooths with other parametric effects in
  the model. Reported by @mahonmb #301

• Partial residuals in partial_residuals() and draw.gam() were wrong for
  GAMs fitted with family = binomial() where the weights argument contained
  the binomial sample sizes because the prior weights were being used to form
  weighted working residuals. Now working weights are used instead. Reported by
  @emchuron #273

• Internal function gammals_link() was expecting "theta" as a synonym for
  the scale parameter but the master table has "phi" coded as the synonym.
  Now both work as expected.

• level() assumed that level would have only a single value even though it
  could handle multiple levels. #321