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gavinsimpson committed Dec 14, 2024
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5 changes: 3 additions & 2 deletions DESCRIPTION
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Package: gratia
Version: 0.9.2.9013
Version: 0.9.2.9014
Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Authors@R: c(person(given = "Gavin L.", family = "Simpson",
email = "ucfagls@gmail.com",
Expand Down Expand Up @@ -33,7 +33,8 @@ Imports:
cli,
nlme,
ggokabeito,
withr
withr,
scales
Suggests:
gamm4,
lme4,
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4 changes: 4 additions & 0 deletions NAMESPACE
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Expand Up @@ -418,7 +418,9 @@ export(variance_comp)
export(vars_from_label)
export(which_smooths)
export(worm_plot)
importFrom(cli,format_error)
importFrom(cli,pluralize)
importFrom(cli,qty)
importFrom(cli,style_dim)
importFrom(cli,symbol)
importFrom(dplyr,"%>%")
Expand Down Expand Up @@ -533,6 +535,7 @@ importFrom(rlang,"!!")
importFrom(rlang,"%||%")
importFrom(rlang,":=")
importFrom(rlang,.data)
importFrom(rlang,abort)
importFrom(rlang,dots_list)
importFrom(rlang,enexpr)
importFrom(rlang,enquo)
Expand All @@ -546,6 +549,7 @@ importFrom(rlang,has_name)
importFrom(rlang,inject)
importFrom(rlang,parse_expr)
importFrom(rlang,set_names)
importFrom(scales,ordinal_format)
importFrom(stats,IQR)
importFrom(stats,as.formula)
importFrom(stats,binomial)
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4 changes: 3 additions & 1 deletion NEWS.md
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* `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
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
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